Instructions to use pszemraj/flan-t5-large-grammar-synthesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pszemraj/flan-t5-large-grammar-synthesis with Transformers:

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("pszemraj/flan-t5-large-grammar-synthesis")
model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/flan-t5-large-grammar-synthesis", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use pszemraj/flan-t5-large-grammar-synthesis with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K
# Run inference directly in the terminal:
llama cli -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K
# Run inference directly in the terminal:
llama cli -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pszemraj/flan-t5-large-grammar-synthesis:Q6_K

Use Docker

docker model run hf.co/pszemraj/flan-t5-large-grammar-synthesis:Q6_K

LM Studio
Jan
Ollama
How to use pszemraj/flan-t5-large-grammar-synthesis with Ollama:
```
ollama run hf.co/pszemraj/flan-t5-large-grammar-synthesis:Q6_K
```
Unsloth Desktop
Docker Model Runner
How to use pszemraj/flan-t5-large-grammar-synthesis with Docker Model Runner:
```
docker model run hf.co/pszemraj/flan-t5-large-grammar-synthesis:Q6_K
```

Lemonade

How to use pszemraj/flan-t5-large-grammar-synthesis with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull pszemraj/flan-t5-large-grammar-synthesis:Q6_K

Run and chat with the model

lemonade run user.flan-t5-large-grammar-synthesis-Q6_K

List all available models

lemonade list

Atomic Chat

New discussion

Resources

View closed (15)

Docker model run compatibility?

#17 opened 9 months ago by

keyoti

which dataset split that used for training?

#11 opened about 3 years ago by

Marovlo