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:
- df77ce2f3f90b562e6479adcbc930c40943c1adace01751f5b1f5e5e816674c9
- Size of remote file:
- 4.98 kB
- SHA256:
- f72bfdc9e2289d89029da8fc0bb49acb4eecaaa8b593cd431797762edc76353c
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