Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use amirbralin/my_first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirbralin/my_first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amirbralin/my_first_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amirbralin/my_first_model") model = AutoModelForSequenceClassification.from_pretrained("amirbralin/my_first_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7939dea442e04d14eb78eac8e1068352e630297d3b25943b8392a0985193aa4d
- Size of remote file:
- 4.6 kB
- SHA256:
- 082fa49c817990b7ecad587b4d9ce286f2b33c53331451f0137479f8643f0f5b
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