Instructions to use ellen625/opt125_wiki_ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ellen625/opt125_wiki_ce with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ellen625/opt125_wiki_ce")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ellen625/opt125_wiki_ce") model = AutoModelForMultimodalLM.from_pretrained("ellen625/opt125_wiki_ce") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ellen625/opt125_wiki_ce with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ellen625/opt125_wiki_ce" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ellen625/opt125_wiki_ce", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ellen625/opt125_wiki_ce
- SGLang
How to use ellen625/opt125_wiki_ce 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 "ellen625/opt125_wiki_ce" \ --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": "ellen625/opt125_wiki_ce", "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 "ellen625/opt125_wiki_ce" \ --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": "ellen625/opt125_wiki_ce", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ellen625/opt125_wiki_ce with Docker Model Runner:
docker model run hf.co/ellen625/opt125_wiki_ce
Upload tokenizer
Browse files- README.md +1 -1
- vocab.json +0 -0
README.md
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
---
|
| 2 |
license: other
|
| 3 |
-
base_model: facebook/opt-125m
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: opt125_wiki_ce
|
| 8 |
results: []
|
|
|
|
| 1 |
---
|
| 2 |
license: other
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
+
base_model: facebook/opt-125m
|
| 6 |
model-index:
|
| 7 |
- name: opt125_wiki_ce
|
| 8 |
results: []
|
vocab.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|