Instructions to use vsty/orcas_roberta_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsty/orcas_roberta_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vsty/orcas_roberta_mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vsty/orcas_roberta_mlm") model = AutoModelForMaskedLM.from_pretrained("vsty/orcas_roberta_mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d5d1327e1f59d8567be518d0ca63336ee7324abecb575a9ce5d44c71ea1530a
- Size of remote file:
- 296 MB
- SHA256:
- 0a7b6c2a66f03a432bacf3e588ee6709e45e2a31333b10a386a8e5529d75e4bd
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