Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use fredymad/distilbert_estricto_2e-5_16_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fredymad/distilbert_estricto_2e-5_16_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fredymad/distilbert_estricto_2e-5_16_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fredymad/distilbert_estricto_2e-5_16_2") model = AutoModelForSequenceClassification.from_pretrained("fredymad/distilbert_estricto_2e-5_16_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39dcbe3edda5bc7ce8e429b5eee2fb36439b25bfab0dc632f23152f4ddc1f938
- Size of remote file:
- 268 MB
- SHA256:
- 3e4ce80e17bc27ceabc564fbbb8d02f59251a14adb8851160abc488b9ae7509b
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