Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use netaicsco/v1.2_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netaicsco/v1.2_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netaicsco/v1.2_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("netaicsco/v1.2_classifier") model = AutoModelForSequenceClassification.from_pretrained("netaicsco/v1.2_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
988eb03 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:19b21a08a9c935864a94433139c0695ede7954f28273de5d51d3bab44bca7bd5
size 5304
|