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
Commit History
-
Update README.md
f180b9e
-
Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/m3hrdadfi/albert-fa-base-v2/README.md524b8b1
-
Update config.json
8fb05db -
Update spiece.vocab
ae6fc16 -
Update spiece.model
c3c3fd0 -
Update pytorch_model.bin
3f8d0b2 -
initial commit
96d07a0