Instructions to use hf-internal-testing/tiny-random-RemBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RemBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-RemBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RemBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-RemBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-RemBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 18.2 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-RemBertForTokenClassification/resolve/8970ad2462ce5d4443e7e6ae89ddca332a74a70d/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-RemBertForTokenClassification@8970ad2462ce5d4443e7e6ae89ddca332a74a70d/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-RemBertForTokenClassification/resolve/8970ad2462ce5d4443e7e6ae89ddca332a74a70d/pytorch_model.bin
18.2 MB
- Xet hash:
- 8f5ce38f7d12f51d90d1382502c28caf6a6f4c953099e8af73ddfb17a6dac65f
- Size of remote file:
- 18.2 MB
- SHA256:
- 8be6fac178e0aade8bde565577948c88757ec513281fa10e6b6a171acb76e8f3
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