Instructions to use JAlexis/modelbin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAlexis/modelbin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="JAlexis/modelbin")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JAlexis/modelbin") model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/modelbin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398447f252c772c2142fc1681869af86610ffa7f48259d6fc4b770a2f620f3f9
- Size of remote file:
- 431 MB
- SHA256:
- e0176538acbbde148dd7b19b6a90cafd5fd170a2004dfd37cd7f669fc3ee0542
路
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