Instructions to use m3hrdadfi/bert-fa-base-uncased-farstail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/bert-fa-base-uncased-farstail with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3hrdadfi/bert-fa-base-uncased-farstail")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/bert-fa-base-uncased-farstail") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e52e9b47dae82093f1ae575715d0fcfc8accb59da9dfe2a7bb9e965739fdb8f
- Size of remote file:
- 651 MB
- SHA256:
- 967f7508525782badad6587451410fc66480f239f2c4c96f7d3ccdc1004ef5b9
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