Text Classification
Transformers
TensorBoard
Safetensors
Spanish
longformer
spanish
mental-health
disorder-detection
mentalrisk2024
early-detection
ice
nlp
Instructions to use ELiRF/Longformer-es-m-base-ICE-MR24-DD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ELiRF/Longformer-es-m-base-ICE-MR24-DD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ELiRF/Longformer-es-m-base-ICE-MR24-DD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ELiRF/Longformer-es-m-base-ICE-MR24-DD") model = AutoModelForSequenceClassification.from_pretrained("ELiRF/Longformer-es-m-base-ICE-MR24-DD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2c0b9bc61fe098f78166569316767ea70d3d14860c6969ff64abb9745b844a1
- Size of remote file:
- 595 MB
- SHA256:
- d0b232cb5942fc5e4dbf4c5f6b9ec99b1e532d5b3bf9ea507c087b9a861dca5e
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