Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use toddnief/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toddnief/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toddnief/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("toddnief/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("toddnief/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c607480ece371f04d98b61646c3f3984916ada189488ee235b6c702b4474b70
- Size of remote file:
- 5.78 kB
- SHA256:
- 390f80887c909037fa7292da6c1442b6a724d38e3f2e4a4ac37c9321d5e2a4ec
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