Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use karlitoxz/ServiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karlitoxz/ServiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karlitoxz/ServiModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karlitoxz/ServiModel") model = AutoModelForSequenceClassification.from_pretrained("karlitoxz/ServiModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karlitoxz/ServiModel: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/karlitoxz/ServiModel/resolve/main/training_args.bin
- Command line
-
hf download hf://karlitoxz/ServiModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karlitoxz/ServiModel/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- c4734d92bd250eadd9f8578773c60f6a5b6e93bfe3e4cfcf1427e818857106c0
- Size of remote file:
- 4.98 kB
- SHA256:
- 4e4807236c915ce73177328640d185cfe341b3e4fc5a330f03576e8165512595
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