Instructions to use akadhim-ai/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akadhim-ai/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akadhim-ai/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akadhim-ai/bert_model") model = AutoModelForSequenceClassification.from_pretrained("akadhim-ai/bert_model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f981255 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:178cb1d1d535b352bda3a2fa6e8d16c3fd8611c8ca751cd40874ef396440743d
size 3311
|