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 model.safetensors from hf-internal-testing/tiny-random-GPTNeoForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 1.45 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoForTokenClassification/resolve/refs%2Fpr%2F19/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-GPTNeoForTokenClassification@refs/pr/19/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-GPTNeoForTokenClassification/resolve/refs%2Fpr%2F19/model.safetensors
1.45 MB
- Xet hash:
- 76fbf5717c19ecfb2639eae359ce6ab9a755ce76f2445601538523e6ef25df2a
- Size of remote file:
- 1.45 MB
- SHA256:
- 32074c759f6508a296c0d02d1bd6e2ee3a603075cd08d17a10bf8b979be2aaae
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