Instructions to use williamhtan/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use williamhtan/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("williamhtan/model") model = AutoModelForSeq2SeqLM.from_pretrained("williamhtan/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from williamhtan/model: direct link, hf CLI and curl.
- Browser
- Download file 17.3 MB
-
https://huggingface.co/williamhtan/model/resolve/main/tokenizer.json
- Command line
-
hf download hf://williamhtan/model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/williamhtan/model/resolve/main/tokenizer.json
17.3 MB
- Xet hash:
- 03cb4b71ade7653c5e8e7db0fa99723d59b131ce9e74b6b148b5eabf011c508e
- Size of remote file:
- 17.3 MB
- SHA256:
- 4b8e2a83d0248681296203188f7c79a5395754ab89cb05ae5bf37bb8bad414de
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