Transformers cli clean command (#37657)

* transformers-cli -> transformers

* Chat command works with positional argument

* update doc references to transformers-cli

* doc headers

* deepspeed

---------

Co-authored-by: Joao Gante <joao@huggingface.co>
This commit is contained in:
Lysandre Debut
2025-04-30 13:15:43 +02:00
committed by GitHub
parent 63cd4c76f3
commit d538293f62
49 changed files with 399 additions and 386 deletions

View File

@@ -49,9 +49,9 @@ model = AutoModelForCausalLM.from_pretrained("CohereForAI/c4ai-command-r-v01", t
messages = [{"role": "user", "content": "How do plants make energy?"}]
input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
output = model.generate(
input_ids,
max_new_tokens=100,
do_sample=True,
input_ids,
max_new_tokens=100,
do_sample=True,
temperature=0.3,
cache_implementation="static",
)
@@ -59,11 +59,11 @@ print(tokenizer.decode(output[0], skip_special_tokens=True))
```
</hfoption>
<hfoption id="transformers-cli">
<hfoption id="transformers CLI">
```bash
# pip install -U flash-attn --no-build-isolation
transformers-cli chat --model_name_or_path CohereForAI/c4ai-command-r-v01 --torch_dtype auto --attn_implementation flash_attention_2
transformers chat CohereForAI/c4ai-command-r-v01 --torch_dtype auto --attn_implementation flash_attention_2
```
</hfoption>
@@ -85,9 +85,9 @@ model = AutoModelForCausalLM.from_pretrained("CohereForAI/c4ai-command-r-v01", t
messages = [{"role": "user", "content": "How do plants make energy?"}]
input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
output = model.generate(
input_ids,
max_new_tokens=100,
do_sample=True,
input_ids,
max_new_tokens=100,
do_sample=True,
temperature=0.3,
cache_implementation="static",
)