Instructions to use hf-internal-testing/tiny-random-GPTNeoXForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoXForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-GPTNeoXForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-GPTNeoXForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-GPTNeoXForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 1.6 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoXForTokenClassification/resolve/3aa4fe8a562f32230041d6d3616aa5ecc3f30192/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-GPTNeoXForTokenClassification@3aa4fe8a562f32230041d6d3616aa5ecc3f30192/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoXForTokenClassification/resolve/3aa4fe8a562f32230041d6d3616aa5ecc3f30192/pytorch_model.bin
1.6 MB
- Xet hash:
- f94766543950259d125c924b31684d66f9c089f31008eb42d65dc2b6c7e4f133
- Size of remote file:
- 1.6 MB
- SHA256:
- 940cbd80f00ef93108254d4dc14d47d475ded721c6827ca2886f5f5dfe9f2c8d
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