Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_Climate_LRTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_Climate_LRTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_Climate_LRTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_Climate_LRTC") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_Climate_LRTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8eecea2a3861b9868dbd82221299cbb3eeff1450356eee06a4e098af75c3d392
- Size of remote file:
- 5.27 kB
- SHA256:
- b3631ca6261a1583b5835b6f1110758b52d78ed974513cdf0c9b4090de2cbeaf
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