Instructions to use Eraly-ml/KazBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eraly-ml/KazBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Eraly-ml/KazBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Eraly-ml/KazBERT") model = AutoModelForMaskedLM.from_pretrained("Eraly-ml/KazBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Eraly-ml/KazBERT: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/Eraly-ml/KazBERT/resolve/main/generation_config.json
- Command line
-
hf download hf://Eraly-ml/KazBERT/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Eraly-ml/KazBERT/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.47.0" | |
| } | |