Instructions to use GMLBsst/RecoTravRoute2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GMLBsst/RecoTravRoute2 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="GMLBsst/RecoTravRoute2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("GMLBsst/RecoTravRoute2") model = AutoModelForCausalLM.from_pretrained("GMLBsst/RecoTravRoute2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GMLBsst/RecoTravRoute2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/GMLBsst/RecoTravRoute2/resolve/main/training_args.bin
- Command line
-
hf download hf://GMLBsst/RecoTravRoute2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GMLBsst/RecoTravRoute2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 419c841a981b14027a2b0464f9a08485f2674001383f66abffe14adb91e53f35
- Size of remote file:
- 5.43 kB
- SHA256:
- 9dd135be867de39955e80cbec9146a9fda3ee81699812dd08a0174307e8c6a5e
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