Instructions to use gngpostalsrvc/COHeN_wl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/COHeN_wl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gngpostalsrvc/COHeN_wl")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/COHeN_wl") model = AutoModelForSequenceClassification.from_pretrained("gngpostalsrvc/COHeN_wl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dc53abd7a3e583d520c7623373d870d4ceaf3b624e6f0c8d6614eaaab0bbb82
- Size of remote file:
- 3.58 kB
- SHA256:
- 8f5f166af1869cf0a8a657bc77111271bff0fbe89f2a952bb5517307728de8b3
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