Instructions to use yabramuvdi/bert-sector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yabramuvdi/bert-sector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yabramuvdi/bert-sector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yabramuvdi/bert-sector") model = AutoModelForSequenceClassification.from_pretrained("yabramuvdi/bert-sector") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
5948066 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:498fd663014ca2a00b7d64410eed29c5e7ee5db37db79ff497be0f1047e8e0e4
size 438083821
|