Instructions to use nelise/lab2_efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nelise/lab2_efficient with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nelise/lab2_efficient") model = AutoModelForSeq2SeqLM.from_pretrained("nelise/lab2_efficient", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from nelise/lab2_efficient: direct link, hf CLI and curl.
- Browser
- Download file 542 MB
-
https://huggingface.co/nelise/lab2_efficient/resolve/main/model.safetensors
- Command line
-
hf download hf://nelise/lab2_efficient/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/nelise/lab2_efficient/resolve/main/model.safetensors
542 MB
- Xet hash:
- ec5c50edec0176ddd2c68a2d942f5db2c9738ace0e6534053a6bb354f84128b7
- Size of remote file:
- 542 MB
- SHA256:
- 6aad7e9fb30de7b96ee0a1f92d2cf3a4a2201d39bc9ee53e0ef6696bc529f46f
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