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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc3faf80aafee3db2195159db98b48f1ea3b33f10c373e16e3d356ef570d84c0
- Size of remote file:
- 4.6 kB
- SHA256:
- 9f19874805b81bc5c835b0b1b4600f1010c483f171e339c66dbe9607676e0958
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