Instructions to use larabe/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use larabe/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="larabe/test")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("larabe/test") model = AutoModelForImageTextToText.from_pretrained("larabe/test") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use larabe/test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "larabe/test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "larabe/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/larabe/test
- SGLang
How to use larabe/test 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 "larabe/test" \ --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": "larabe/test", "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 "larabe/test" \ --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": "larabe/test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use larabe/test with Docker Model Runner:
docker model run hf.co/larabe/test
Training in progress, epoch 1
Browse files
config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"_commit_hash": "
|
| 3 |
-
"_name_or_path": "naver-clova-ix/donut-base
|
| 4 |
"architectures": [
|
| 5 |
"VisionEncoderDecoderModel"
|
| 6 |
],
|
|
@@ -51,7 +51,7 @@
|
|
| 51 |
},
|
| 52 |
"length_penalty": 1.0,
|
| 53 |
"max_length": 512,
|
| 54 |
-
"max_position_embeddings":
|
| 55 |
"min_length": 0,
|
| 56 |
"model_type": "mbart",
|
| 57 |
"no_repeat_ngram_size": 0,
|
|
@@ -87,7 +87,7 @@
|
|
| 87 |
"typical_p": 1.0,
|
| 88 |
"use_bfloat16": false,
|
| 89 |
"use_cache": true,
|
| 90 |
-
"vocab_size":
|
| 91 |
},
|
| 92 |
"decoder_start_token_id": 0,
|
| 93 |
"encoder": {
|
|
|
|
| 1 |
{
|
| 2 |
+
"_commit_hash": "a959cf33c20e09215873e338299c900f57047c61",
|
| 3 |
+
"_name_or_path": "naver-clova-ix/donut-base",
|
| 4 |
"architectures": [
|
| 5 |
"VisionEncoderDecoderModel"
|
| 6 |
],
|
|
|
|
| 51 |
},
|
| 52 |
"length_penalty": 1.0,
|
| 53 |
"max_length": 512,
|
| 54 |
+
"max_position_embeddings": 1536,
|
| 55 |
"min_length": 0,
|
| 56 |
"model_type": "mbart",
|
| 57 |
"no_repeat_ngram_size": 0,
|
|
|
|
| 87 |
"typical_p": 1.0,
|
| 88 |
"use_bfloat16": false,
|
| 89 |
"use_cache": true,
|
| 90 |
+
"vocab_size": 57648
|
| 91 |
},
|
| 92 |
"decoder_start_token_id": 0,
|
| 93 |
"encoder": {
|
pytorch_model.bin
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:d36f4ad9832b3b152e7de53f85078ccb0d79d92e9bb78a06c131eaf8686688e3
|
| 3 |
+
size 809682713
|
runs/Aug23_14-21-35_ip-172-31-42-230.eu-central-1.compute.internal/events.out.tfevents.1692800525.ip-172-31-42-230.eu-central-1.compute.internal.11141.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b9de80a651f3768b62b9ae25f728e57f375f1caec6dfff3f4bf010539fd10f11
|
| 3 |
+
size 8848
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4155
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d58fd82334f9a94dba8b13569aa08775892e9fc3acdf967d4f37daf0472d7328
|
| 3 |
size 4155
|