Instructions to use HooshvareLab/bert-fa-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-fa-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HooshvareLab/bert-fa-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-fa-base-uncased") model = AutoModelForMaskedLM.from_pretrained("HooshvareLab/bert-fa-base-uncased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download vocab.txt from HooshvareLab/bert-fa-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/HooshvareLab/bert-fa-base-uncased/resolve/main/vocab.txt
- Command line
-
hf download hf://HooshvareLab/bert-fa-base-uncased/vocab.txt
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curl -L -o vocab.txt https://huggingface.co/HooshvareLab/bert-fa-base-uncased/resolve/main/vocab.txt
1.2 MB
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