Instructions to use amrtweg/Actora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amrtweg/Actora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amrtweg/Actora")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("amrtweg/Actora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a50358a622c3c7e0c8bcee9a002524e0d701fcaef33880cb1815077c9b18dee
- Size of remote file:
- 541 MB
- SHA256:
- a93aea075c3c0891bef6e8812f7c746afe959546b542fb4426c0885667fbb043
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