Instructions to use tr3cks/2LabelsSentimentAnalysisSpanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tr3cks/2LabelsSentimentAnalysisSpanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tr3cks/2LabelsSentimentAnalysisSpanish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tr3cks/2LabelsSentimentAnalysisSpanish") model = AutoModelForSequenceClassification.from_pretrained("tr3cks/2LabelsSentimentAnalysisSpanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from tr3cks/2LabelsSentimentAnalysisSpanish: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/tr3cks/2LabelsSentimentAnalysisSpanish/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://tr3cks/2LabelsSentimentAnalysisSpanish/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/tr3cks/2LabelsSentimentAnalysisSpanish/resolve/main/flax_model.msgpack
439 MB
- Xet hash:
- 0dc8e686ba290d56325e57fa538b109dd3cec98ceaf369ec20a48b723f03fd8f
- Size of remote file:
- 439 MB
- SHA256:
- 29e4867b19ff1d8c56e94379d83d3b1773ad081359e64b5784352dd86c623037
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