Instructions to use gowitheflowlab/en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-es", device_map="auto")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-es", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56d2d17675da6fb99652220b294eee7ed606ab670aeda7bba62ce453fe22bf1b
- Size of remote file:
- 3.38 kB
- SHA256:
- e8502ca3e0b2de11013145c61e4ed28aebbfad83cc400dd1470beccc1a843190
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