Instructions to use m3hrdadfi/albert-fa-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/albert-fa-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="m3hrdadfi/albert-fa-base-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2") model = AutoModelForMaskedLM.from_pretrained("m3hrdadfi/albert-fa-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from m3hrdadfi/albert-fa-base-v2: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/m3hrdadfi/albert-fa-base-v2/resolve/main/.gitattributes
- Command line
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hf download hf://m3hrdadfi/albert-fa-base-v2/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/m3hrdadfi/albert-fa-base-v2/resolve/main/.gitattributes
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