Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp") model = AutoModelForSequenceClassification.from_pretrained("rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90d0d6c78c90d5a7fa60b469c8cda053ff0292112f437f3b75646181828ca5b8
- Size of remote file:
- 541 MB
- SHA256:
- 49231e9f36853f7a2d35f622683a0d83462397eb281c8ed471d502cb4f90eeca
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