Translation
Transformers
Safetensors
Vietnamese
marian
text2text-generation
vietnamese
text-rewriting
post-editing
web-novel
Instructions to use DanVP/vp2vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanVP/vp2vi with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="DanVP/vp2vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DanVP/vp2vi") model = AutoModelForSeq2SeqLM.from_pretrained("DanVP/vp2vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
3437141 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_from_model_config": true,
"bos_token_id": 1,
"decoder_start_token_id": 0,
"eos_token_id": 2,
"forced_eos_token_id": 2,
"output_attentions": false,
"output_hidden_states": false,
"pad_token_id": 0,
"transformers_version": "5.9.0",
"use_cache": true
}
|