The
original model card
to learn about the model's capabilities, specifications, and terms of use.
The
Petals repository
to learn how to install Petals and run this model over the Petals swarm.
We provide minimal code examples below.
Using the model
from petals import DistributedBloomForCausalLM
model = DistributedBloomForCausalLM.from_pretrained("bigscience/bloomz-petals")
# Embeddings & prompts are on your device, BLOOM blocks are distributed across the Internet
inputs = tokenizer("A cat sat", return_tensors="pt")["input_ids"]
outputs = model.generate(inputs, max_new_tokens=5)
print(tokenizer.decode(outputs[0])) # A cat sat on a mat...
Runs of bigscience bloomz-petals on huggingface.co
648
Total runs
32
24-hour runs
86
3-day runs
212
7-day runs
600
30-day runs
More Information About bloomz-petals huggingface.co Model
bloomz-petals huggingface.co
bloomz-petals huggingface.co is an AI model on huggingface.co that provides bloomz-petals's model effect (), which can be used instantly with this bigscience bloomz-petals model. huggingface.co supports a free trial of the bloomz-petals model, and also provides paid use of the bloomz-petals. Support call bloomz-petals model through api, including Node.js, Python, http.
bloomz-petals huggingface.co is an online trial and call api platform, which integrates bloomz-petals's modeling effects, including api services, and provides a free online trial of bloomz-petals, you can try bloomz-petals online for free by clicking the link below.
bigscience bloomz-petals online free url in huggingface.co:
bloomz-petals is an open source model from GitHub that offers a free installation service, and any user can find bloomz-petals on GitHub to install. At the same time, huggingface.co provides the effect of bloomz-petals install, users can directly use bloomz-petals installed effect in huggingface.co for debugging and trial. It also supports api for free installation.