Instructions to use hf-internal-testing/tiny-random-DebertaV2ForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DebertaV2ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-DebertaV2ForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-DebertaV2ForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 16.6 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForTokenClassification/resolve/refs%2Fpr%2F3/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-DebertaV2ForTokenClassification@refs/pr/3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForTokenClassification/resolve/refs%2Fpr%2F3/model.safetensors
16.6 MB
- Xet hash:
- affa6371ee69b88495db59c77bc0e5f4e19f3edd8a4744b5e3fbb16f8a2e7882
- Size of remote file:
- 16.6 MB
- SHA256:
- 28da27457e0830ad69ed864dea6ceba70745eb13f703db082411a73e2c70f298
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