Instructions to use Manauu17/enhanced_roberta_sentiments_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manauu17/enhanced_roberta_sentiments_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manauu17/enhanced_roberta_sentiments_es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manauu17/enhanced_roberta_sentiments_es") model = AutoModelForSequenceClassification.from_pretrained("Manauu17/enhanced_roberta_sentiments_es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Manauu17/enhanced_roberta_sentiments_es: direct link, hf CLI and curl.
- Browser
- Download file 435 MB
-
https://huggingface.co/Manauu17/enhanced_roberta_sentiments_es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Manauu17/enhanced_roberta_sentiments_es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Manauu17/enhanced_roberta_sentiments_es/resolve/main/pytorch_model.bin
435 MB
- Xet hash:
- 8ae4ca9668fcad4768ea914c506f282454386a280bb5063b82e0a0096a2aa61c
- Size of remote file:
- 435 MB
- SHA256:
- d386263737227d43af508bbafb872a992275bc90f922200e349206f03d98ee06
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