Instructions to use DavidLanz/tcp2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidLanz/tcp2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DavidLanz/tcp2023")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DavidLanz/tcp2023") model = AutoModelForCausalLM.from_pretrained("DavidLanz/tcp2023") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DavidLanz/tcp2023 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DavidLanz/tcp2023" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DavidLanz/tcp2023", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DavidLanz/tcp2023
- SGLang
How to use DavidLanz/tcp2023 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 "DavidLanz/tcp2023" \ --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": "DavidLanz/tcp2023", "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 "DavidLanz/tcp2023" \ --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": "DavidLanz/tcp2023", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DavidLanz/tcp2023 with Docker Model Runner:
docker model run hf.co/DavidLanz/tcp2023
Upload folder using huggingface_hub
Browse files- config.json +3 -1
- generation_config.json +2 -0
- pytorch_model.bin +1 -1
- tokenizer.json +0 -0
- vocab.json +0 -0
config.json
CHANGED
|
@@ -1,15 +1,17 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"activation_function": "gelu_new",
|
| 4 |
"architectures": [
|
| 5 |
"GPT2LMHeadModel"
|
| 6 |
],
|
| 7 |
"attn_pdrop": 0.1,
|
| 8 |
"bos_token_id": 50256,
|
|
|
|
| 9 |
"embd_pdrop": 0.1,
|
| 10 |
"eos_token_id": 50256,
|
| 11 |
"initializer_range": 0.02,
|
| 12 |
"layer_norm_epsilon": 1e-05,
|
|
|
|
| 13 |
"model_type": "gpt2",
|
| 14 |
"n_ctx": 1024,
|
| 15 |
"n_embd": 768,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "DavidLanz/tcp2023",
|
| 3 |
"activation_function": "gelu_new",
|
| 4 |
"architectures": [
|
| 5 |
"GPT2LMHeadModel"
|
| 6 |
],
|
| 7 |
"attn_pdrop": 0.1,
|
| 8 |
"bos_token_id": 50256,
|
| 9 |
+
"do_sample": true,
|
| 10 |
"embd_pdrop": 0.1,
|
| 11 |
"eos_token_id": 50256,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"layer_norm_epsilon": 1e-05,
|
| 14 |
+
"max_length": 50,
|
| 15 |
"model_type": "gpt2",
|
| 16 |
"n_ctx": 1024,
|
| 17 |
"n_embd": 768,
|
generation_config.json
CHANGED
|
@@ -1,6 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
"bos_token_id": 50256,
|
|
|
|
| 4 |
"eos_token_id": 50256,
|
|
|
|
| 5 |
"transformers_version": "4.32.1"
|
| 6 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"_from_model_config": true,
|
| 3 |
"bos_token_id": 50256,
|
| 4 |
+
"do_sample": true,
|
| 5 |
"eos_token_id": 50256,
|
| 6 |
+
"max_length": 50,
|
| 7 |
"transformers_version": "4.32.1"
|
| 8 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497807197
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34c336e3480ae79100d9e50e8c4140ff338ab58b841e05e203cd646711727210
|
| 3 |
size 497807197
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
vocab.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|