Instructions to use anilguven/albert_tr_qa_turkish_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anilguven/albert_tr_qa_turkish_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="anilguven/albert_tr_qa_turkish_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anilguven/albert_tr_qa_turkish_squad") model = AutoModelForQuestionAnswering.from_pretrained("anilguven/albert_tr_qa_turkish_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e844ddceacb25b450369151ee160c615bd66c2d5b8872b63deb841332d90751
- Size of remote file:
- 863 kB
- SHA256:
- 0906192fc8a73500782d11318813c4554fb0aeeb2ded6899b69839f09958ee99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.