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--- |
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base_model: cognitivecomputations/dolphin-2.9.3-llama-3-8b |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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- sft |
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--- |
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# Uploaded model |
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- **Developed by:** AashishKumar |
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- **License:** apache-2.0 |
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- **Finetuned from model :** cognitivecomputations/dolphin-2.9.3-llama-3-8b |
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``` |
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from transformers import AutoTokenizer, LlamaForCausalLM |
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model = LlamaForCausalLM.from_pretrained("otonomy/Cn_2_9_3_Hinglish_llama3_7b_8kAk") |
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tokenizer = AutoTokenizer.from_pretrained("otonomy/Cn_2_9_3_Hinglish_llama3_7b_8kAK") |
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prompt = "ky tumhe la la land pasand hai?" |
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inputs = tokenizer(prompt, return_tensors="pt") |
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# Generate |
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generate_ids = model.generate(inputs.input_ids, max_length=30) |
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tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] |
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``` |
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``` |
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# Use a pipeline as a high-level helper |
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from transformers import pipeline |
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messages = [ |
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{"role": "user", "content": "Who are you?"}, |
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] |
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pipe = pipeline("text-generation", model="otonomy/Cn_2_9_3_Hinglish_llama3_7b_8kAk") |
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pipe(messages) |
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``` |
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