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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec18855d490096c2d44b78978ac154fa170a27f4fcfab6b0a4060fffabc5a7d
- Size of remote file:
- 329 MB
- SHA256:
- 710ab37f4a90b0ad97d12a0eafdd6051a61165b2d01d9f2c230762ebefe44e59
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