MultiTrickFox commited on
Commit
3522113
1 Parent(s): b70b06b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -14
README.md CHANGED
@@ -12,27 +12,21 @@ Bloom (2.5 B) Scientific Model fine-tuned on Zen knowledge
12
  #####
13
 
14
 
 
15
  from transformers import AutoTokenizer, AutoModelForCausalLM
16
 
17
-
18
- tokenizer = AutoTokenizer.from_pretrained("MultiTrickFox/bloom-2b5_Zen")
19
  model = AutoModelForCausalLM.from_pretrained("MultiTrickFox/bloom-2b5_Zen")
20
 
21
- model.cuda()
22
  tokenizer.pad_token_id = tokenizer.eos_token_id
23
 
24
-
25
  generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
26
 
 
27
 
28
- inp = [
29
- """Today""",
30
- """Yesterday"""
31
- ]
32
-
33
- out = generator(
34
- inp.cuda(),
35
- do_sample=True,
36
 
37
  temperature=.6,
38
  typical_p=.7,
@@ -43,5 +37,5 @@ out = generator(
43
  max_time=60, # seconds
44
  )
45
 
46
-
47
- for o in out: print(o[0]['generated_text'])
 
12
  #####
13
 
14
 
15
+ ```python
16
  from transformers import AutoTokenizer, AutoModelForCausalLM
17
 
18
+ tokenizer = AutoTokenizer.from_pretrained("MultiTrickFox/bloom-2b5_Zen")
 
19
  model = AutoModelForCausalLM.from_pretrained("MultiTrickFox/bloom-2b5_Zen")
20
 
21
+ model
22
  tokenizer.pad_token_id = tokenizer.eos_token_id
23
 
 
24
  generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
25
 
26
+ inp = [ """Today""", """Yesterday""" ]
27
 
28
+ out = generator(
29
+ inp, do_sample=True,
 
 
 
 
 
 
30
 
31
  temperature=.6,
32
  typical_p=.7,
 
37
  max_time=60, # seconds
38
  )
39
 
40
+ for o in out: print(o[0]['generated_text'])
41
+ ```