Instructions to use meetplace1/bertclassify900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetplace1/bertclassify900 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="meetplace1/bertclassify900")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("meetplace1/bertclassify900") model = AutoModelForSequenceClassification.from_pretrained("meetplace1/bertclassify900") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 046ba9ab5037e5703bcdba946bc4e17979b51430c11d2dc54e7a4ee094106805
- Size of remote file:
- 1.34 GB
- SHA256:
- 9e483feb151cfbe920ca508a6685ae3f2107a639c598042d5cdad18553a17f4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.