Instructions to use mm/roberta-large-mld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mm/roberta-large-mld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mm/roberta-large-mld")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mm/roberta-large-mld") model = AutoModel.from_pretrained("mm/roberta-large-mld") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:69efb2dbfd32d360aa3f7579d08d8cbeb7f66afdd20b7a42461bcec533abc65e
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size 498845224
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