Instructions to use yam1ke/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test4") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yam1ke/test4: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/yam1ke/test4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yam1ke/test4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yam1ke/test4/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 9d767d45d29041d68e8ae8878b08e6717ff9abff019052a8dc5af33221584d19
- Size of remote file:
- 266 MB
- SHA256:
- cb8d7793554b2839bc16df8b1133bafa6234b377ecf3291c91bfd04c9ff98de4
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