Instructions to use PCIResearch/TransCore-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PCIResearch/TransCore-M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="PCIResearch/TransCore-M", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("PCIResearch/TransCore-M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use PCIResearch/TransCore-M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "PCIResearch/TransCore-M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "PCIResearch/TransCore-M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/PCIResearch/TransCore-M
- SGLang
How to use PCIResearch/TransCore-M 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 "PCIResearch/TransCore-M" \ --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": "PCIResearch/TransCore-M", "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 "PCIResearch/TransCore-M" \ --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": "PCIResearch/TransCore-M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use PCIResearch/TransCore-M with Docker Model Runner:
docker model run hf.co/PCIResearch/TransCore-M
Delete visual_encoder
Browse files
visual_encoder/config.json
DELETED
|
@@ -1,19 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_name_or_path": "/data/lmm_models/clip-vit-large-patch14-336",
|
| 3 |
-
"attention_dropout": 0.0,
|
| 4 |
-
"dropout": 0.0,
|
| 5 |
-
"hidden_act": "quick_gelu",
|
| 6 |
-
"hidden_size": 1024,
|
| 7 |
-
"image_size": 336,
|
| 8 |
-
"initializer_factor": 1.0,
|
| 9 |
-
"initializer_range": 0.02,
|
| 10 |
-
"intermediate_size": 4096,
|
| 11 |
-
"layer_norm_eps": 1e-05,
|
| 12 |
-
"model_type": "clip_vision_model",
|
| 13 |
-
"num_attention_heads": 16,
|
| 14 |
-
"num_channels": 3,
|
| 15 |
-
"num_hidden_layers": 24,
|
| 16 |
-
"patch_size": 14,
|
| 17 |
-
"projection_dim": 768,
|
| 18 |
-
"transformers_version": "4.31.0"
|
| 19 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
visual_encoder/preprocessor_config.json
DELETED
|
@@ -1,28 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"crop_size": {
|
| 3 |
-
"height": 336,
|
| 4 |
-
"width": 336
|
| 5 |
-
},
|
| 6 |
-
"do_center_crop": true,
|
| 7 |
-
"do_convert_rgb": true,
|
| 8 |
-
"do_normalize": true,
|
| 9 |
-
"do_rescale": true,
|
| 10 |
-
"do_resize": true,
|
| 11 |
-
"feature_extractor_type": "CLIPFeatureExtractor",
|
| 12 |
-
"image_mean": [
|
| 13 |
-
0.48145466,
|
| 14 |
-
0.4578275,
|
| 15 |
-
0.40821073
|
| 16 |
-
],
|
| 17 |
-
"image_processor_type": "CLIPImageProcessor",
|
| 18 |
-
"image_std": [
|
| 19 |
-
0.26862954,
|
| 20 |
-
0.26130258,
|
| 21 |
-
0.27577711
|
| 22 |
-
],
|
| 23 |
-
"resample": 3,
|
| 24 |
-
"rescale_factor": 0.00392156862745098,
|
| 25 |
-
"size": {
|
| 26 |
-
"shortest_edge": 336
|
| 27 |
-
}
|
| 28 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
visual_encoder/pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:5d7c1dbc68ee9bd545517842d8137286e911254d028eb4258daedac303e46c80
|
| 3 |
-
size 607144361
|
|
|
|
|
|
|
|
|
|
|
|