Instructions to use gowitheflowlab/en-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-pt", device_map="auto")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-pt", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcea33a314de951ecfb9146218a0261b805bc0c669e48b586213959f6296927c
- Size of remote file:
- 3.38 kB
- SHA256:
- 8e11338bcdff9505f84ea44f0e02a12ed1c7b0d42579b127ef06ae8301921ba4
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