Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use hydrochii/text_classify_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hydrochii/text_classify_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hydrochii/text_classify_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hydrochii/text_classify_model") model = AutoModelForSequenceClassification.from_pretrained("hydrochii/text_classify_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 556ce041a7a0eae76ac22480f76ca204113a9635692d4ea99fa0bd7cb1d0ee52
- Size of remote file:
- 433 MB
- SHA256:
- 762f1a8e77540589c500734aaba04b78e6fd09e676f778a70ef7eb17ebcc11be
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