Instructions to use ketong3906/HAW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ketong3906/HAW with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ketong3906/HAW") model = AutoModelForSeq2SeqLM.from_pretrained("ketong3906/HAW", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ketong3906/HAW: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/ketong3906/HAW/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ketong3906/HAW/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ketong3906/HAW/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 3d1a988157f9032723c7f2d685e792a2cbd14aaf8dcf394edba973f6f27fae19
- Size of remote file:
- 892 MB
- SHA256:
- 31d941413985f620ac39b442e5c77b2a80f9765d2c117e36fc7e91fad50b50af
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