Text Classification
Transformers
PyTorch
Spanish
roberta
emotion-recognition
speech-emotion-recognition
spanish
affective-computing
umuteam
Eval Results (legacy)
text-embeddings-inference
Instructions to use UMUTeam/MarIA-emotion-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UMUTeam/MarIA-emotion-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UMUTeam/MarIA-emotion-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UMUTeam/MarIA-emotion-es") model = AutoModelForSequenceClassification.from_pretrained("UMUTeam/MarIA-emotion-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from UMUTeam/MarIA-emotion-es: direct link, hf CLI and curl.
- Browser
- Download file 509 kB
-
https://huggingface.co/UMUTeam/MarIA-emotion-es/resolve/refs%2Fpr%2F4/merges.txt
- Command line
-
hf download hf://UMUTeam/MarIA-emotion-es@refs/pr/4/merges.txt
-
curl -L -o merges.txt https://huggingface.co/UMUTeam/MarIA-emotion-es/resolve/refs%2Fpr%2F4/merges.txt
509 kB
File too large to display, you can check the raw version instead.