Instructions to use Anwaarma/Improved-bert-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/Improved-bert-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/Improved-bert-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/Improved-bert-multilingual") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/Improved-bert-multilingual") - 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 sha256:58779eea5b19ca18d9115118e5544179c328e3e78fb94a5477fe1d70fea483b1
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size 711443456
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