Instructions to use hf-internal-testing/tiny-random-GPTNeoForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GPTNeoForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-GPTNeoForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPTNeoForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-GPTNeoForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-GPTNeoForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 1.47 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoForTokenClassification/resolve/6cd6df3ac7ea1e7d72bba21b34d9ca4c097c3459/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-GPTNeoForTokenClassification@6cd6df3ac7ea1e7d72bba21b34d9ca4c097c3459/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoForTokenClassification/resolve/6cd6df3ac7ea1e7d72bba21b34d9ca4c097c3459/pytorch_model.bin
1.47 MB
- Xet hash:
- f37dfcf56bef13ff19698ad09ace7fe081f22f9ee8ab5458dd667ff95a017ded
- Size of remote file:
- 1.47 MB
- SHA256:
- 9a14fc5c50b1d2a1a34578abac2b3b2bec6f3799daeb2778a4556b5a69c6c5c3
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