Instructions to use Shakhovak/RerankerModel_chat_bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shakhovak/RerankerModel_chat_bot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shakhovak/RerankerModel_chat_bot")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shakhovak/RerankerModel_chat_bot") model = AutoModelForSequenceClassification.from_pretrained("Shakhovak/RerankerModel_chat_bot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Shakhovak/RerankerModel_chat_bot: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Shakhovak/RerankerModel_chat_bot/resolve/main/training_args.bin
- Command line
-
hf download hf://Shakhovak/RerankerModel_chat_bot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shakhovak/RerankerModel_chat_bot/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- d8e1c0fcd6e4ab13e4b078136f859ff375469c573047baaf17128c8aabbcc8bc
- Size of remote file:
- 4.73 kB
- SHA256:
- 47f284b6f5d2fb5900731d24302be9c600fa4a782cc3bff7bc0c35db3cc2c6d7
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