Instructions to use UmerKhan261/Fine-Tuned_BERT_German_Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UmerKhan261/Fine-Tuned_BERT_German_Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UmerKhan261/Fine-Tuned_BERT_German_Text_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UmerKhan261/Fine-Tuned_BERT_German_Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("UmerKhan261/Fine-Tuned_BERT_German_Text_Classification") - 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:b3893ce3160a724e1e031e4c8a4e3e003b165f5cdcb7afd103af1c139663f05a
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size 436419652
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