Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use maayansharon/climate_sequence_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maayansharon/climate_sequence_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maayansharon/climate_sequence_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maayansharon/climate_sequence_classification_model") model = AutoModelForSequenceClassification.from_pretrained("maayansharon/climate_sequence_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea3e097fdd35b97df2c9c432c89534e7fdfcb3f692aa80b188ebbe5038581b5e
- Size of remote file:
- 268 MB
- SHA256:
- 16c74905f371819c0af8a6754d5162a3874bf539b474dd8e1947344cea348925
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