Instructions to use mahbubhimel/BNGEMMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahbubhimel/BNGEMMA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahbubhimel/BNGEMMA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahbubhimel/BNGEMMA") model = AutoModelForSequenceClassification.from_pretrained("mahbubhimel/BNGEMMA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afa78551f6fdaff5671645d2394d4478e28255203cd7456448b0da82ae0a3ba8
- Size of remote file:
- 34.4 MB
- SHA256:
- 5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
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