Instructions to use jenspt/bert_classification_27_04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jenspt/bert_classification_27_04 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jenspt/bert_classification_27_04")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jenspt/bert_classification_27_04") model = AutoModelForSequenceClassification.from_pretrained("jenspt/bert_classification_27_04", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3f855f9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:73dd04a4bbb4309751672d3a0a9b724a8ed06d1e72bb310df2018fae4a0c02f5
size 438019245
|