Instructions to use facebook/muppet-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/muppet-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/muppet-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/muppet-roberta-base") model = AutoModelForMaskedLM.from_pretrained("facebook/muppet-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6692f03d913ae0b95796a1e3de563f1d35b953a0b01e0612a64ce5836ab76cc1
- Size of remote file:
- 499 MB
- SHA256:
- 7700079af933c86f61b197c9590c8c70e98be7bc6d4ad8c934eac1cfa452f413
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