Instructions to use pelican/3cls_equal_len with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pelican/3cls_equal_len with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pelican/3cls_equal_len")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pelican/3cls_equal_len") model = AutoModelForSequenceClassification.from_pretrained("pelican/3cls_equal_len", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pelican/3cls_equal_len: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/pelican/3cls_equal_len/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pelican/3cls_equal_len/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pelican/3cls_equal_len/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 35ab5663eb000814bf27ba762ffecccbf38c65060caf6844edc733388611f648
- Size of remote file:
- 499 MB
- SHA256:
- 2aa8192603253bdb59c9dbead744a592ebeb83353586f3d58f70becf00e935ac
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