Instructions to use BUT-FIT/DeCRED_uni5000_normalized_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUT-FIT/DeCRED_uni5000_normalized_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BUT-FIT/DeCRED_uni5000_normalized_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Lakoc commited on
Commit ·
4252338
1
Parent(s): a28a819
bos fix
Browse files- tokenizer.json +0 -6
tokenizer.json
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@@ -59,12 +59,6 @@
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"SpecialToken": {
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"id": "([bos])",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"Sequence": {
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"id": "A",
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