Instructions to use cychristophercyc/Team_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cychristophercyc/Team_Project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cychristophercyc/Team_Project")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cychristophercyc/Team_Project") model = AutoModelForSequenceClassification.from_pretrained("cychristophercyc/Team_Project") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba16731c006ea277012da1db5afd881b8effb7ea161161b0792ce67c96480548
- Size of remote file:
- 499 MB
- SHA256:
- a951add3116f5847436c6946c5da086ffaf3afb7be68890637b0524d1d8c3f55
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