Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/ghgmetricsv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/ghgmetricsv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/ghgmetricsv1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/ghgmetricsv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/ghgmetricsv1") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.13600419461727142
f1_macro: 0.950956937799043
f1_micro: 0.9512195121951219
f1_weighted: 0.9508694130003501
precision_macro: 0.9583333333333334
precision_micro: 0.9512195121951219
precision_weighted: 0.9593495934959351
recall_macro: 0.9523809523809523
recall_micro: 0.9512195121951219
recall_weighted: 0.9512195121951219
accuracy: 0.9512195121951219
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