Text Classification
Transformers
TensorBoard
Safetensors
Spanish
longformer
spanish
mental-health
early-detection
eating-disorder
ice
nlp
Instructions to use ELiRF/Longformer-es-m-base-ICE-MR23-ED 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-MR23-ED 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-MR23-ED")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ELiRF/Longformer-es-m-base-ICE-MR23-ED") model = AutoModelForSequenceClassification.from_pretrained("ELiRF/Longformer-es-m-base-ICE-MR23-ED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 607969223db2b65ebf4e0c323a06496c215054b082a221ecff0a55c218269d71
- Size of remote file:
- 595 MB
- SHA256:
- ab4b327ed6c985454bfc289f67801326bf7199071d4a2b5095e0827127089b85
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