Instructions to use vanande/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vanande/roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vanande/roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vanande/roberta") model = AutoModelForQuestionAnswering.from_pretrained("vanande/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97c0460f4bae52af4fbbf9214e2a6d52beba9506ad3f3e9a0e5543399e924097
- Size of remote file:
- 496 MB
- SHA256:
- 7fed6d792f53a8b801b2dc43e236655b7714eb4c8ec20ea48570e1da4dd96f75
路
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