Instructions to use yam1ke/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test3") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yam1ke/test3: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/yam1ke/test3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yam1ke/test3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yam1ke/test3/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 1ff8255538dbb670e28b3296ca1854c7aea51e96998f4f62afdae3f776f724bf
- Size of remote file:
- 266 MB
- SHA256:
- d7ecc23d9a7c68ab18cea2a21d570439468e71d7e2800b4cbacb1a080783713d
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