Instructions to use answerdotai/ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-base") - Notebooks
- Google Colab
- Kaggle
Add `"add_prefix_space": true,`; this allows for much stronger token-level performance (e.g. NER, ColBERT)
#48
by tomaarsen HF Staff - opened
- tokenizer_config.json +1 -0
tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "|||IP_ADDRESS|||",
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{
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+
"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "|||IP_ADDRESS|||",
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