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 tokenizer.json from GMLBsst/RecoTravRoute2: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/GMLBsst/RecoTravRoute2/resolve/main/tokenizer.json
- Command line
-
hf download hf://GMLBsst/RecoTravRoute2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GMLBsst/RecoTravRoute2/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 922b7ca7ba4d2f66d92f0b1191fe3a4010a67fe8265e9c69b1d65f60f9970339
- Size of remote file:
- 34.4 MB
- SHA256:
- f559f2189f392b4555613965f089e7c4d300b41fbe080bf79da0d676e33ee7f0
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