Instructions to use karlitoxz/ServiModelV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karlitoxz/ServiModelV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karlitoxz/ServiModelV2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karlitoxz/ServiModelV2") model = AutoModelForSequenceClassification.from_pretrained("karlitoxz/ServiModelV2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karlitoxz/ServiModelV2: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/karlitoxz/ServiModelV2/resolve/main/training_args.bin
- Command line
-
hf download hf://karlitoxz/ServiModelV2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karlitoxz/ServiModelV2/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 1125404fe2fd86bdf6521c7daac28325344bbda99a3c63168ed32829000b32bf
- Size of remote file:
- 5.78 kB
- SHA256:
- 32dbbe2e5c81a528ce72bcc3c84f4ff1db3c8856644d3175e8d2ed640cb5c6ed
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