Instructions to use manelalab/chrono-bert-v1-20021231 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manelalab/chrono-bert-v1-20021231 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manelalab/chrono-bert-v1-20021231")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("manelalab/chrono-bert-v1-20021231") model = AutoModelForMaskedLM.from_pretrained("manelalab/chrono-bert-v1-20021231", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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{
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"_name_or_path": "answerdotai/ModernBERT-base",
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"architectures": [
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"attention_bias": false,
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"attention_dropout": 0.0,
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"_name_or_path": "answerdotai/ModernBERT-base",
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"architectures": [
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"ModernBertForMaskedLM"
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"attention_bias": false,
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"attention_dropout": 0.0,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 598635032
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