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")# 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
- Xet hash:
- 370e2b8f12d70d4a1d855cfeee7fddada9b7a536130053a57fccdc251b9bd2b3
- Size of remote file:
- 334 MB
- SHA256:
- efed706aff7740bd6cb058cfe5b537de60afa865c832c1059860a42941c99e78
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