This checkpoint should be loaded into BartForConditionalGeneration.frompretrained. See the BART docs for more information.
Open-weight model · Summarization
mt5-cpe-kmutt-thai-sentence-sum
by Thanathorn thanathorn/mt5-cpe-kmutt-thai-sentence-sum
This repository contains the finetuned mT5-base model for Thai sentence summarization. The architecture of the model is based on mT5 model and fine-tuned on text-summarization pairs in Thai.
Parameters—
Context—
Weights2.3 GB
License—
AccessOpen weights
Monthly Downloads3.7k
Model Card
This repository contains the finetuned mT5-base model for Thai sentence summarization. The architecture of the model is based on mT5 model and fine-tuned on text-summarization pairs in Thai. Also, this project is a Senior Project of Computer Engineering Student at King Mongkut’s University of Technology Thonburi. (See the example on Google Colab )
Excerpt from the card by Thanathorn.
Configuration
- Architecture
- MT5ForConditionalGeneration
- Vocabulary size
- 250,112
- Stored precision
- float32
- Model type
- mt5
Identity and Version
- Repository
- thanathorn/mt5-cpe-kmutt-thai-sentence-sum
- Publisher
- Thanathorn
- Task
- Summarization
- Modality
- Text
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- th
- Revision
- cc479312c558c62618d794a961d994be2a12d0fc
- First published
- 2022-04-27
- Last updated
- 2022-05-13
Files and Weights
11 files, 2.3 GB in total. The weights are 4 files totalling 2.3 GB in bin, pt.
Weights4 files · 2.3 GB
Configuration3 files · 3.4 KB
Tokenizer2 files · 4.3 MB
Documentation1 file · 1.8 KB
Repository1 file · 1.2 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| optimizer.pt | Weights | 4.1 MB | bb60fb834d24 |
| pytorch_model.bin | Weights | 2.3 GB | 45c9061f60ca |
| scheduler.pt | Weights | 623 B | 8887b20465b4 |
| training_args.bin | Weights | 3.1 KB | 6c5c336a8a9b |
| config.json | Configuration | 744 B | — |
| model_args.json | Configuration | 2.6 KB | — |
| special_tokens_map.json | Configuration | 65 B | — |
| README.md | Documentation | 1.8 KB | — |
| .gitattributes | Repository | 1.2 KB | — |
| spiece.model | Tokenizer | 4.3 MB | ef78f86560d8 |
| tokenizer_config.json | Tokenizer | 450 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 2.3 GB
Download from Thanathorn
Released by Thanathorn through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
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This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.
This checkpoint should be loaded into BartForConditionalGeneration.frompretrained. See the BART docs for more information.
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