Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use 3dalgo/tal_text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3dalgo/tal_text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="3dalgo/tal_text_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("3dalgo/tal_text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("3dalgo/tal_text_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d357d814726c264dd90326647cc08735a109efdea18e3759a6bbfd4cfe252a0
- Size of remote file:
- 5.18 kB
- SHA256:
- 4dbefdc15d0e786f3849d63cc9e16da2e3bb436b6ecc580b56c546b6605c3291
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