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
- Xet hash:
- 836a0e38fd2f7497d135a0619652ec9bc69156e55da68e6724f95a295541bd29
- Size of remote file:
- 5.2 kB
- SHA256:
- 1d1a3d0f2c2b532200477af2fee5302fcd42268372f6846b405c1bae7ecfaf77
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