Instructions to use JAlexis/modelF_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAlexis/modelF_01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="JAlexis/modelF_01")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JAlexis/modelF_01") model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/modelF_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf05575f5909f2c2092435012e60f67b6f6390ac8534926fc1a1e7b8214344e0
- Size of remote file:
- 431 MB
- SHA256:
- bab36da67a3bff0ab5693e7adcf39c11d308c019558cbe6cdbef4605770242f6
路
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