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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="FirmanBr/chibibot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FirmanBr/chibibot") model = AutoModelForQuestionAnswering.from_pretrained("FirmanBr/chibibot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FirmanBr/chibibot: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/FirmanBr/chibibot/resolve/main/training_args.bin
- Command line
-
hf download hf://FirmanBr/chibibot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FirmanBr/chibibot/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 1f5ff6384e6cfe99e546b17b00b29a109752ec9a4cc518630656c3cbdbc51147
- Size of remote file:
- 2.93 kB
- SHA256:
- ef104fd636ab190ee2c952ef861b5bc6c364eafe6f2d71babbf30adf24eb2a28
路
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