Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use darkBrother/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darkBrother/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darkBrother/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darkBrother/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("darkBrother/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f1e7350bb85ef0892e2066e1eda47f30ab46ef966025579a760eefaf39c69fb
- Size of remote file:
- 5.18 kB
- SHA256:
- c904e3cfdab8a31f7203b0589705e2526ce0d83d7d6bb3028cb507ea215df582
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