Instructions to use hf-internal-testing/tiny-random-T5ForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-T5ForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-T5ForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-T5ForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 222 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-T5ForTokenClassification/resolve/refs%2Fpr%2F38/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-T5ForTokenClassification@refs/pr/38/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-T5ForTokenClassification/resolve/refs%2Fpr%2F38/model.safetensors
222 kB
- Xet hash:
- c23f4a0a4b93ac418e207da651a4b0f62df7dcfae407bbb970be862009e77dea
- Size of remote file:
- 222 kB
- SHA256:
- 2eae748d08f7afeb527ee725f68562d19ae5cab4e2f1b35fa9fe4f8350717b25
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