Instructions to use FDSRashid/QulBERT-CE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FDSRashid/QulBERT-CE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FDSRashid/QulBERT-CE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FDSRashid/QulBERT-CE") model = AutoModelForSequenceClassification.from_pretrained("FDSRashid/QulBERT-CE") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6d01dd0f4d0fbad6938de65e6c051496ee7ee24694c29306ca4449f977994a5
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size 436356172
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