Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_Climate_Native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_Climate_Native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_Climate_Native")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_Climate_Native") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_Climate_Native") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 083b50c53cc1d1ff721d4d45fa2a148c1817bbb11c683e7b7ce761cae23334a3
- Size of remote file:
- 5.27 kB
- SHA256:
- d445659f16c4a70ec16e7292c83920ea9a8a2b86c074247a03c7a01bff94fd43
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