Instructions to use hf-tiny-model-private/tiny-random-BertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-BertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-BertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-BertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 361 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-BertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-BertForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-BertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
361 kB
- Xet hash:
- 61fc5fda3f410b8924057feab503fa7fb661b05dd5d567522cc182b8d9f32c74
- Size of remote file:
- 361 kB
- SHA256:
- f53c57e5de149dd1696f6378521546b4d4469de566afb28f971fa05aca51d4b9
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