Instructions to use borgr/autotrain-Trial-1053836321 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use borgr/autotrain-Trial-1053836321 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="borgr/autotrain-Trial-1053836321")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836321") model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836321", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adc9d15c8aa4beba08bc7d2aea8921ca3a17cd545788a3ce52b651ab9caacc0e
- Size of remote file:
- 433 MB
- SHA256:
- 59d4cdad785632a33f73b349919e7432b033c491cce62639c491e755756c614f
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