Instructions to use postbot/bloom-1b1-emailgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use postbot/bloom-1b1-emailgen with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="postbot/bloom-1b1-emailgen")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("postbot/bloom-1b1-emailgen")
model = AutoModelForCausalLM.from_pretrained("postbot/bloom-1b1-emailgen")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use postbot/bloom-1b1-emailgen with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "postbot/bloom-1b1-emailgen"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "postbot/bloom-1b1-emailgen",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/postbot/bloom-1b1-emailgen

SGLang

How to use postbot/bloom-1b1-emailgen 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 "postbot/bloom-1b1-emailgen" \
    --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": "postbot/bloom-1b1-emailgen",
		"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 "postbot/bloom-1b1-emailgen" \
        --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": "postbot/bloom-1b1-emailgen",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use postbot/bloom-1b1-emailgen with Docker Model Runner:
```
docker model run hf.co/postbot/bloom-1b1-emailgen
```

pszemraj commited on Nov 4, 2022

Commit

397cbf3

1 Parent(s): 5b5501a

Update README.md

Browse files

Files changed (1) hide show

README.md +11 -1

README.md CHANGED Viewed

@@ -35,7 +35,17 @@ Hope you are doing well. I just wanted to reach out and ask if differential calc
   example_title: "catch up"
 - text: "Jestem <NAME>,\n\nWłaśnie wprowadziłem się do obszaru i chciałem dotrzeć i uzyskać kilka szczegółów na temat tego, gdzie mogę dostać artykuły spożywcze i"
   example_title: "zakupy spożywcze"
 ---

   example_title: "catch up"
 - text: "Jestem <NAME>,\n\nWłaśnie wprowadziłem się do obszaru i chciałem dotrzeć i uzyskać kilka szczegółów na temat tego, gdzie mogę dostać artykuły spożywcze i"
   example_title: "zakupy spożywcze"
+parameters:
+  min_length: 32
+  max_length: 128
+  no_repeat_ngram_size: 2
+  do_sample: True
+  temperature: 0.2
+  top_k: 20
+  top_p: 0.95
+  repetition_penalty: 3.5
+  length_penalty: 0.9
 ---