Instructions to use mohsenfayyaz/albert-fa-base-v2_pquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohsenfayyaz/albert-fa-base-v2_pquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mohsenfayyaz/albert-fa-base-v2_pquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mohsenfayyaz/albert-fa-base-v2_pquad") model = AutoModelForQuestionAnswering.from_pretrained("mohsenfayyaz/albert-fa-base-v2_pquad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e1b73d662470433ee8c1fbf2913377cffb2a91a35146cdde9beb46c544e7500
- Size of remote file:
- 70 MB
- SHA256:
- 7f331972658f3132bd5543a38ac47759b9234992a4e14592da884955985d9f58
路
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