Instructions to use ericRosello/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericRosello/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ericRosello/results")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ericRosello/results") model = AutoModelForQuestionAnswering.from_pretrained("ericRosello/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c95828320658bbb9e9965d7c2bdfd4713933a26b6ef3de83701d9c73c8921cd
- Size of remote file:
- 436 MB
- SHA256:
- 28bcaeba6b690c24a678e2c146c64aead7472a8107c4d36edc1ee75870537f74
路
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