Instructions to use sello-ralethe/bert-base-generics-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sello-ralethe/bert-base-generics-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sello-ralethe/bert-base-generics-mlm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sello-ralethe/bert-base-generics-mlm") model = AutoModelForMaskedLM.from_pretrained("sello-ralethe/bert-base-generics-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sello-ralethe/bert-base-generics-mlm: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/sello-ralethe/bert-base-generics-mlm/resolve/main/training_args.bin
- Command line
-
hf download hf://sello-ralethe/bert-base-generics-mlm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sello-ralethe/bert-base-generics-mlm/resolve/main/training_args.bin
2.35 kB
- Xet hash:
- 0a0e6172662dc6a9d2bc65f7b3d868941b171246f56481a321cd2a91e5ccc554
- Size of remote file:
- 2.35 kB
- SHA256:
- 9a8327a6420ed4f38232fc2e8679045467ea95185eb4a9e376858c2ec950002d
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