Instructions to use deeplearningwithpython5240/summarisation-t5-finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deeplearningwithpython5240/summarisation-t5-finetuned-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("deeplearningwithpython5240/summarisation-t5-finetuned-model") model = AutoModelForSeq2SeqLM.from_pretrained("deeplearningwithpython5240/summarisation-t5-finetuned-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +11 -2
tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length":
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"strategy": "LongestFirst",
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"stride": 0
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"added_tokens": [
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"id": 0,
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 128,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": {
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"strategy": {
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"Fixed": 128
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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"added_tokens": [
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{
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"id": 0,
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