Instructions to use JamesKim/bert-base-uncased_1802 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JamesKim/bert-base-uncased_1802 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JamesKim/bert-base-uncased_1802")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JamesKim/bert-base-uncased_1802") model = AutoModelForMaskedLM.from_pretrained("JamesKim/bert-base-uncased_1802", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from JamesKim/bert-base-uncased_1802: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/JamesKim/bert-base-uncased_1802/resolve/main/generation_config.json
- Command line
-
hf download hf://JamesKim/bert-base-uncased_1802/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/JamesKim/bert-base-uncased_1802/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.42.3" | |
| } | |