Instructions to use inshining/homework_w4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/homework_w4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inshining/homework_w4") model = AutoModelForSeq2SeqLM.from_pretrained("inshining/homework_w4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from inshining/homework_w4: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/inshining/homework_w4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://inshining/homework_w4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/inshining/homework_w4/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- c027054d6aa83011cb7d8083d5fa5f9a257863e879b83b591fec844e1f0281da
- Size of remote file:
- 308 MB
- SHA256:
- 73c886b017aa27bffe22138e29afd44cec44f5464651657bfa8ab102007291a8
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