Question Answering
Transformers
Safetensors
Turkish
mt5
text2text-generation
text-generation
turkish
squad
Instructions to use anilguven/mt5-small_squad_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anilguven/mt5-small_squad_tr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="anilguven/mt5-small_squad_tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anilguven/mt5-small_squad_tr") model = AutoModelForSeq2SeqLM.from_pretrained("anilguven/mt5-small_squad_tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anilguven/mt5-small_squad_tr: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/anilguven/mt5-small_squad_tr/resolve/main/tokenizer.json
- Command line
-
hf download hf://anilguven/mt5-small_squad_tr/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anilguven/mt5-small_squad_tr/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 702f3e9ccc6b61dd2345d6f4dc6949f06bc99e149672816411167314819745f1
- Size of remote file:
- 16.3 MB
- SHA256:
- 87a036c0dfd2d80e1202a7e2961aeee653ff63d67cd369b155c78a6e2003a390
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