Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos") model = AutoModelForSequenceClassification.from_pretrained("emiliam/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos", device_map="auto") - Notebooks
- Google Colab
- Kaggle