Translation
Transformers
Safetensors
Korean
English
Vietnamese
llama
text-generation
text-generation-inference
Instructions to use DMTLabs-AI/DMTLLM-Translation-Research with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DMTLabs-AI/DMTLLM-Translation-Research 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="DMTLabs-AI/DMTLLM-Translation-Research")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research") model = AutoModelForCausalLM.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 719 Bytes
2e7d3d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"dtype": "float32",
"eos_token_id": 2,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 1376,
"max_position_embeddings": 1024,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 8,
"num_hidden_layers": 8,
"num_key_value_heads": 4,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"rope_theta": 10000.0,
"rope_type": "default"
},
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"use_cache": false,
"vocab_size": 48000
}
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