Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use rexarski/bert-base-climate-fever-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rexarski/bert-base-climate-fever-fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rexarski/bert-base-climate-fever-fixed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rexarski/bert-base-climate-fever-fixed") model = AutoModelForSequenceClassification.from_pretrained("rexarski/bert-base-climate-fever-fixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c02180d564e97fecefe101a24a3fe37b1a0a7997abb5b579773ef2b9d7bbb387
- Size of remote file:
- 438 MB
- SHA256:
- 03f0abfb7e91dc58fd1dcb5a271465e71429201e2cbf746c4f87967c3fb0de54
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.