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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b62c00ba6f2fca83e85ed2c1420994e82edaa42a78c609d78d04220feb2794f
- Size of remote file:
- 4.86 kB
- SHA256:
- 417c593ad620278517db25c992c2ae9dcefd96962d62fa445530e05f77f46e05
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