Instructions to use AnonymousSub/output_roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/output_roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/output_roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/output_roberta-large") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/output_roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea1b2a49b75bbacb24264e8e613591ad902ffa10f25c416fecd5ac8a54fee1ab
- Size of remote file:
- 1.42 GB
- SHA256:
- 86d9e6e9ecb50106293da105d44374c5ecfb71c642dee5cc87d10d21d2654345
路
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