Instructions to use slachitoff/CS-GY_6613_Milestone_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slachitoff/CS-GY_6613_Milestone_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="slachitoff/CS-GY_6613_Milestone_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("slachitoff/CS-GY_6613_Milestone_3") model = AutoModelForSequenceClassification.from_pretrained("slachitoff/CS-GY_6613_Milestone_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f319a9db442feaaa2a929b0703e6bbfa1f2d9ce7c24bb0235757cf276395a72
- Size of remote file:
- 268 MB
- SHA256:
- bfab30d3d69148dbc635b70e5d92aa700c9ab329263fdb99c89fc2a03684ef2b
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