Instructions to use enoriega/rule_softmatching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enoriega/rule_softmatching with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enoriega/rule_softmatching")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enoriega/rule_softmatching") model = AutoModelForQuestionAnswering.from_pretrained("enoriega/rule_softmatching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ba6e983f9a7a65d03a26e5cb70afe41a8ab6ea4a6fb7dfa062ac4514e9d0958
- Size of remote file:
- 436 MB
- SHA256:
- a613f3a79690ee0fe375d853dcec59e58f742dd5d70f802eff811a5a9fad786e
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