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
File size: 134 Bytes
90aae48 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bfab30d3d69148dbc635b70e5d92aa700c9ab329263fdb99c89fc2a03684ef2b
size 267855533
|