Instructions to use EMBEDDIA/crosloengual-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBEDDIA/crosloengual-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EMBEDDIA/crosloengual-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/crosloengual-bert") model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/crosloengual-bert") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
67202cd
1
Parent(s): 3d7939b
added tokenizer_config, so the tokenizer is cased by default
Browse files- tokenizer_config.json +4 -0
tokenizer_config.json
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{
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"do_lower_case": false,
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"max_len": 512
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}
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