Instructions to use nitsw/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nitsw/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nitsw/results") model = AutoModelForSeq2SeqLM.from_pretrained("nitsw/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nitsw/results: direct link, hf CLI and curl.
- Browser
- Download file 19 MB
-
https://huggingface.co/nitsw/results/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nitsw/results/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nitsw/results/resolve/main/adapter_model.bin
19 MB
- Xet hash:
- 202bd300218c69e5d6124e825c3ef1677a2c2942cb6f6a46811b5307f8cfb1e8
- Size of remote file:
- 19 MB
- SHA256:
- 892554ef3100b0fb11612d07ea902b001c07b0a3d07971f9fc8c6adf6e10cd69
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