Instructions to use Apucs/banglabert-finetuned-mnli-mm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apucs/banglabert-finetuned-mnli-mm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apucs/banglabert-finetuned-mnli-mm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apucs/banglabert-finetuned-mnli-mm") model = AutoModelForSequenceClassification.from_pretrained("Apucs/banglabert-finetuned-mnli-mm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a84e34dc8ec520499fef87c9ec73554c8aa1e32927aec1177dd0a9a6a7ccf71a
- Size of remote file:
- 443 MB
- SHA256:
- db15e179b447e15f18b86661cf99da5a6361667ce66e76374256eb6b47a21fa0
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