Instructions to use akashmaggon/Bert-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akashmaggon/Bert-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akashmaggon/Bert-sequence-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akashmaggon/Bert-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("akashmaggon/Bert-sequence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7246432 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4def61d457a9655f4f89f5a95aee5a8196320678eca3c1b0781f71644fc66a40
size 438106358
|