Text Classification
Transformers
TensorBoard
Safetensors
Spanish
roberta
spanish
mental-health
depression
mentalrisk2023
early-detection
ice
nlp
text-embeddings-inference
Instructions to use ELiRF/RoBERTa-es-m-large-ICE-MR23-D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ELiRF/RoBERTa-es-m-large-ICE-MR23-D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ELiRF/RoBERTa-es-m-large-ICE-MR23-D")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ELiRF/RoBERTa-es-m-large-ICE-MR23-D") model = AutoModelForSequenceClassification.from_pretrained("ELiRF/RoBERTa-es-m-large-ICE-MR23-D", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ELiRF/RoBERTa-es-m-large-ICE-MR23-D: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/ELiRF/RoBERTa-es-m-large-ICE-MR23-D/resolve/main/training_args.bin
- Command line
-
hf download hf://ELiRF/RoBERTa-es-m-large-ICE-MR23-D/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ELiRF/RoBERTa-es-m-large-ICE-MR23-D/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- c657e53e8687cca205d977549fce9402a669ae3ab0e7b4860b03baffbaade136
- Size of remote file:
- 5.24 kB
- SHA256:
- ef776c72c3958df95181d3eea0f8ac620b639e2c6d4c3bea63811bab7f5a4e09
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