Instructions to use hf-tiny-model-private/tiny-random-RemBertForTokenClassification 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-RemBertForTokenClassification 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-RemBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-RemBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-tiny-model-private/tiny-random-RemBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 16.7 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RemBertForTokenClassification/resolve/de52fbaf9078b85199ae0a834dfc5f4709c8aae5/tokenizer.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RemBertForTokenClassification@de52fbaf9078b85199ae0a834dfc5f4709c8aae5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-RemBertForTokenClassification/resolve/de52fbaf9078b85199ae0a834dfc5f4709c8aae5/tokenizer.json
16.7 MB
- Xet hash:
- 371e3bd8d33f19216444118b333374835b65fa17048d4421afe619321f4ce438
- Size of remote file:
- 16.7 MB
- SHA256:
- 64c2619f4b7bdfaa22061f522f23964fe13667c85aa1da5df5b191109e4d2a2c
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