Instructions to use hf-internal-testing/tiny-random-PhiForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PhiForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-PhiForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-PhiForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 189 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-PhiForTokenClassification/resolve/refs%2Fpr%2F8/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-PhiForTokenClassification@refs/pr/8/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-PhiForTokenClassification/resolve/refs%2Fpr%2F8/model.safetensors
189 kB
- Xet hash:
- cfcfe9b687970602483fad7ee827480f4e895e266172c606f2aa3799d1baf5c0
- Size of remote file:
- 189 kB
- SHA256:
- b7af972d3565c0e6da904c71031e8719e75ac76884f0adedd711f9276241ce24
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