Instructions to use gowitheflow/unsup-ensemble-last-64-768-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflow/unsup-ensemble-last-64-768-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflow/unsup-ensemble-last-64-768-6")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflow/unsup-ensemble-last-64-768-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a647f9a4627bb60a3acfd20a0502908dd9430c34432a391e57ca54ebde4f79b
- Size of remote file:
- 345 MB
- SHA256:
- f8d341d0ad12529ddb81bb8359b664a601c18cfa52b41b9f985a34a277d43773
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