Instructions to use nikchar/ver_model_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikchar/ver_model_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikchar/ver_model_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikchar/ver_model_bert") model = AutoModelForSequenceClassification.from_pretrained("nikchar/ver_model_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
3954de4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:47b959450a392fea921c53e8d7c0ab1ec6a2d0986edc561bc2d279b74da29973
size 4027
|