Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cerrano/myFirstModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cerrano/myFirstModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cerrano/myFirstModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cerrano/myFirstModel") model = AutoModelForSequenceClassification.from_pretrained("cerrano/myFirstModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d82ccc9a47195fa98f3138907c17bb69ede789a492d1fdb382a82cfc0c7ca6a7
- Size of remote file:
- 5.27 kB
- SHA256:
- ba761c77362860a7c381ab9c2b5ce1ec3a01bbd2b2612724978bc23d6059547e
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