Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use XRe03/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XRe03/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="XRe03/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("XRe03/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("XRe03/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5a9a9e2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1d1a3d0f2c2b532200477af2fee5302fcd42268372f6846b405c1bae7ecfaf77
size 5201
|