Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kurianu/tt_classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kurianu/tt_classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kurianu/tt_classify")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kurianu/tt_classify") model = AutoModelForSequenceClassification.from_pretrained("kurianu/tt_classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kurianu/tt_classify: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/kurianu/tt_classify/resolve/main/training_args.bin
- Command line
-
hf download hf://kurianu/tt_classify/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kurianu/tt_classify/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 2d8c93d1f468a3b96df54cb6f1d45b1a088be26dfd4ac261f0061072f52f8ef7
- Size of remote file:
- 4.92 kB
- SHA256:
- d65ee4e925824948e5c6e2f161604fc30a84483513ba3609b0c8c7696328cca3
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