Instructions to use enriquesaou/roberta_en_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/roberta_en_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enriquesaou/roberta_en_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enriquesaou/roberta_en_v2") model = AutoModelForQuestionAnswering.from_pretrained("enriquesaou/roberta_en_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a666d60110819e8c9986f26ed617a6c86a1413b68fd5506bd3807dc331eec3b
- Size of remote file:
- 5.05 kB
- SHA256:
- 418397733a8479d2fe6bc151bffd29a8cb88190a9a9c7c0984ab5a903ec43e4a
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