Instructions to use pritoms/distilroberta-base-YTTranscript23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pritoms/distilroberta-base-YTTranscript23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pritoms/distilroberta-base-YTTranscript23")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pritoms/distilroberta-base-YTTranscript23") model = AutoModelForMaskedLM.from_pretrained("pritoms/distilroberta-base-YTTranscript23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bb4a57412d028a5e34ec4ccab8bddafa8591a70b20a2773c7473f0c156280b2
- Size of remote file:
- 3.06 kB
- SHA256:
- 22a1a9b5a171f347fa190bf6e54aaf6432b2477871061f88ac2a9fa5b63ce8db
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