first commit

2026-06-05 16:53:03 +08:00
commit 06f1fd69a6
6047 changed files with 1895387 additions and 0 deletions
--- a/docs/source/en/model_doc/bartpho.md
+++ b/docs/source/en/model_doc/bartpho.md
@@ -0,0 +1,66 @@
+<!--Copyright 2021 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+
+⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
+rendered properly in your Markdown viewer.
+
+-->
+*This model was published in HF papers on 2021-09-20 and contributed to Hugging Face Transformers on 2021-10-18.*
+
+# BARTpho
+
+[BARTpho](https://huggingface.co/papers/2109.09701) is a large-scale Vietnamese sequence-to-sequence model. It offers a word-based and syllable-based version. This model is built on the [BART](./bart) large architecture with its denoising pretraining.
+
+You can find all the original checkpoints under the [VinAI](https://huggingface.co/vinai/models?search=bartpho) organization.
+
+> [!TIP]
+> This model was contributed by [dqnguyen](https://huggingface.co/dqnguyen).
+> Check out the right sidebar for examples of how to apply BARTpho to different language tasks.
+
+The example below demonstrates how to summarize text with [`Pipeline`] or the [`AutoModel`] class.
+
+<hfoptions id="usage">
+<hfoption id="AutoModel">
+
+```python
+from transformers import AutoTokenizer, BartForConditionalGeneration
+
+
+tokenizer = AutoTokenizer.from_pretrained(
+    "vinai/bartpho-word",
+)
+model = BartForConditionalGeneration.from_pretrained(
+    "vinai/bartpho-word",
+    device_map="auto",
+)
+
+text = """
+Quang tổng hợp hay gọi tắt là quang hợp là quá trình thu nhận và chuyển hóa năng lượng ánh sáng Mặt trời của thực vật,
+tảo và một số vi khuẩn để tạo ra hợp chất hữu cơ phục vụ bản thân cũng như làm nguồn thức ăn cho hầu hết các sinh vật
+trên Trái Đất. Quang hợp trong thực vật thường liên quan đến chất tố diệp lục màu xanh lá cây và tạo ra oxy như một sản phẩm phụ
+"""
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+
+outputs = model.generate(inputs["input_ids"], num_beams=2, min_length=0, max_length=20)
+tokenizer.batch_decode(outputs, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+```
+
+</hfoption>
+</hfoptions>
+
+## Notes
+
+- BARTpho uses the large architecture of BART with an additional layer-normalization layer on top of the encoder and decoder. The BART-specific classes should be replaced with the mBART-specific classes.
+- This implementation only handles tokenization through the `monolingual_vocab_file` file. This is a Vietnamese-specific subset of token types taken from that multilingual vocabulary. If you want to use this tokenizer for another language, replace the `monolingual_vocab_file` with one specialized for your target language.
+
+## BartphoTokenizer
+
+[[autodoc]] BartphoTokenizer