Update `huggingface_hub` version to avoid 404 Client Error (#3)
Browse files- Update huggingface_hub from 0.0.16 to 0.13.4 (b0fce8fd0bde9adb57db49e321c2a37bc993f761)
- Update huggingface_hub version in README (6128735431c59799fe508969ddc5b741b90d4f17)
- Update README to reflect new cookiecutter params (eaebf27a39899d78bd79f7a5d7579b762b328b1e)
- README.md +6 -5
- cookiecutter.json +1 -1
- hooks/pre_gen_project.py +7 -10
- requirements.txt +1 -1
README.md
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@@ -29,17 +29,18 @@ Next, run the following commands to create the repository. We recommend creating
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# Create and activate a virtual environment
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conda create -n raft python=3.8 && conda activate raft
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# Install the following libraries
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pip install cookiecutter huggingface-hub==0.
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# Create the template repository
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cookiecutter git+https://huggingface.co/datasets/ought/raft-submission
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```
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This will ask you to specify your Hugging Face Hub username,
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```
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hf_hub_username [
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-
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repo_name [
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```
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This will trigger the following steps:
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# Create and activate a virtual environment
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conda create -n raft python=3.8 && conda activate raft
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# Install the following libraries
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pip install cookiecutter huggingface-hub==0.13.4
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# Create the template repository
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cookiecutter git+https://huggingface.co/datasets/ought/raft-submission
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```
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This will ask you to specify your Hugging Face Hub username, a Hugging Face [access token](https://huggingface.co/settings/tokens)
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with write permissions, and the name of the repository:
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```
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hf_hub_username [huggingface]:
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hf_access_token [hf_access_token]:
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repo_name [my-raft-submissions]:
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```
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This will trigger the following steps:
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cookiecutter.json
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{
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"hf_hub_username": "huggingface",
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"
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"repo_name": "my-raft-submission"
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}
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{
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"hf_hub_username": "huggingface",
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"hf_access_token": "hf_access_token",
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"repo_name": "my-raft-submission"
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}
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hooks/pre_gen_project.py
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@@ -1,19 +1,16 @@
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from huggingface_hub import HfApi,
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hf_user = "{{cookiecutter.hf_hub_username}}"
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hf_password = "{{cookiecutter.hf_hub_password}}"
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huggingface_token = HfApi().login(username=hf_user, password=hf_password)
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HfFolder.save_token(huggingface_token)
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repo_url = HfApi().create_repo(
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organization=hf_user,
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exist_ok=True,
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private=True,
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repo_type="dataset",
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)
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model_repo = Repository(
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local_dir=".",
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)
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from huggingface_hub import HfApi, Repository
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hf_access_token = "{{cookiecutter.hf_access_token}}"
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repo_url = HfApi().create_repo(
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repo_id="{{cookiecutter.hf_hub_username}}/{{cookiecutter.repo_name}}",
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token=hf_access_token,
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exist_ok=True,
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private=True,
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repo_type="dataset",
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)
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model_repo = Repository(
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local_dir=".",
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clone_from=repo_url,
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token=hf_access_token,
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)
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requirements.txt
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@@ -1,4 +1,4 @@
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datasets>=1.11.0
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typer
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cookiecutter
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huggingface-hub==0.
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datasets>=1.11.0
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typer
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cookiecutter
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huggingface-hub==0.13.4
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