Instructions to use Rel8ed/cleantech-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rel8ed/cleantech-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rel8ed/cleantech-cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rel8ed/cleantech-cls") model = AutoModelForSequenceClassification.from_pretrained("Rel8ed/cleantech-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 340bd4d76a984247cda3408177dc3be7a0e3dc0996fe4eddf1c5d9ad81740f48
- Size of remote file:
- 3.77 kB
- SHA256:
- 3691e54a260e293614a7a59afba203f66924c1051aa68aebc949484b74351ba1
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