Instructions to use liaad/PtVId with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liaad/PtVId with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liaad/PtVId")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liaad/PtVId") model = AutoModelForSequenceClassification.from_pretrained("liaad/PtVId", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf805c55be23a6c00ed3b5d35fa6b03a2916db0b33b6c853ac5af8017b7378d1
- Size of remote file:
- 5.05 kB
- SHA256:
- a6a4cd4b81b376c0dae580ea4931bdc6fdfa0aba41de968f0eeb3c8b83ecf55f
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