Instructions to use Lakoc/asr_decoder_6l_256h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lakoc/asr_decoder_6l_256h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Lakoc/asr_decoder_6l_256h")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Lakoc/asr_decoder_6l_256h") model = AutoModelForCausalLM.from_pretrained("Lakoc/asr_decoder_6l_256h") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Lakoc/asr_decoder_6l_256h with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Lakoc/asr_decoder_6l_256h" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Lakoc/asr_decoder_6l_256h", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Lakoc/asr_decoder_6l_256h
- SGLang
How to use Lakoc/asr_decoder_6l_256h with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Lakoc/asr_decoder_6l_256h" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Lakoc/asr_decoder_6l_256h", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Lakoc/asr_decoder_6l_256h" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Lakoc/asr_decoder_6l_256h", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Lakoc/asr_decoder_6l_256h with Docker Model Runner:
docker model run hf.co/Lakoc/asr_decoder_6l_256h
Upload model
Browse files- config.json +31 -269
- generation_config.json +3 -8
- model.safetensors +2 -2
config.json
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}
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|
| 32 |
"tie_word_embeddings": false,
|
|
|
|
| 33 |
"torch_dtype": "float32",
|
| 34 |
+
"transformers_version": "4.39.3",
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"vocab_size": 5000
|
| 37 |
}
|
generation_config.json
CHANGED
|
@@ -1,11 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
-
"decoder_start_token_id": 0,
|
| 6 |
-
"eos_token_id": 1,
|
| 7 |
-
"max_length": 512,
|
| 8 |
-
"num_beams": 5,
|
| 9 |
-
"pad_token_id": 3,
|
| 10 |
"transformers_version": "4.39.3"
|
| 11 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 50256,
|
| 4 |
+
"eos_token_id": 50256,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
"transformers_version": "4.39.3"
|
| 6 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02a9dcfe5e2e4592050f07597b946047ede14abbfc96110be65d3a6200209b44
|
| 3 |
+
size 48145544
|