Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use gasperpre/custom_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gasperpre/custom_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gasperpre/custom_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gasperpre/custom_model") model = AutoModelForSequenceClassification.from_pretrained("gasperpre/custom_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
c3e2bc4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2e12ea7ef3c1bfd4b1fb977636226680b9fcf10ede02f869dec0a324a5b86dfb
size 16351029
|