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/cb7bfa8bed62f01dc2aff78abff96c52e0f7f1b2/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-GPTNeoXForTokenClassification@cb7bfa8bed62f01dc2aff78abff96c52e0f7f1b2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoXForTokenClassification/resolve/cb7bfa8bed62f01dc2aff78abff96c52e0f7f1b2/pytorch_model.bin
1.6 MB
- Xet hash:
- b3c9ab92bef0b20e8d7406c854b2c63e677900ffd413e748209d41e27c4f988f
- Size of remote file:
- 1.6 MB
- SHA256:
- 8472aa48da5495dd842aa326f0fbd7a79e62e06820543d30fb88222d2d80373e
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