Instructions to use subset-data/test-model-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subset-data/test-model-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="subset-data/test-model-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("subset-data/test-model-roberta") model = AutoModelForQuestionAnswering.from_pretrained("subset-data/test-model-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d808d6b5be3ab394f36cf6adef5b724fe11cbd34db5ae7d7f16da015c069be8
- Size of remote file:
- 496 MB
- SHA256:
- ea7c01c6ac8f7891ad23102e1569c5b414e8d74cbf8d8a587c3c90510c9cc166
路
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