Instructions to use FirmanBr/chibibot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirmanBr/chibibot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FirmanBr/chibibot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FirmanBr/chibibot") model = AutoModelForQuestionAnswering.from_pretrained("FirmanBr/chibibot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4077b4f43cbc9722f95af4e23c0496e93372e16f600ff92dc179893f54686cca
- Size of remote file:
- 440 MB
- SHA256:
- 33cdd539010593d01bd6627aafdf6cfef31995cf9a3405908bf5a31a1247159c
路
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