Instructions to use Noxel/sentiments_multilenguaje with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noxel/sentiments_multilenguaje with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noxel/sentiments_multilenguaje")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noxel/sentiments_multilenguaje") model = AutoModelForSequenceClassification.from_pretrained("Noxel/sentiments_multilenguaje", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from Noxel/sentiments_multilenguaje: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/Noxel/sentiments_multilenguaje/resolve/main/gitattributes
- Command line
-
hf download hf://Noxel/sentiments_multilenguaje/gitattributes
-
curl -L -o gitattributes https://huggingface.co/Noxel/sentiments_multilenguaje/resolve/main/gitattributes
391 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |