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:
- 09897b839f0d11fae905a6104ca7d88f24b867d5b3257736844f527ef8121d37
- Size of remote file:
- 4.15 kB
- SHA256:
- cbc1e82e62a4ece745cb9bac059579ba0f328a18c51676309d475a6dc8042a33
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