Instructions to use neurocode/IsRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neurocode/IsRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neurocode/IsRoBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neurocode/IsRoBERTa") model = AutoModelForMaskedLM.from_pretrained("neurocode/IsRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from neurocode/IsRoBERTa: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/neurocode/IsRoBERTa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://neurocode/IsRoBERTa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/neurocode/IsRoBERTa/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 370e2b8f12d70d4a1d855cfeee7fddada9b7a536130053a57fccdc251b9bd2b3
- Size of remote file:
- 334 MB
- SHA256:
- efed706aff7740bd6cb058cfe5b537de60afa865c832c1059860a42941c99e78
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