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 tokenizer_config.json
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tokenizer_config.json
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{"model_max_length": 512}
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{"model_max_length": 512, "special_tokens_map_file": "/home/kota/.cache/torch/transformers/11e17b9831cc71c66b9fdeadfb3a8908e1768ce0ff508d05dd6c4e46a29d91de.6e217123a3ada61145de1f20b1443a1ec9aac93492a4bd1ce6a695935f0fd97a", "full_tokenizer_file": null}
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