diff options
author | S. Solomon Darnell | 2025-03-28 21:52:21 -0500 |
---|---|---|
committer | S. Solomon Darnell | 2025-03-28 21:52:21 -0500 |
commit | 4a52a71956a8d46fcb7294ac71734504bb09bcc2 (patch) | |
tree | ee3dc5af3b6313e921cd920906356f5d4febc4ed /.venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py | |
parent | cc961e04ba734dd72309fb548a2f97d67d578813 (diff) | |
download | gn-ai-master.tar.gz |
Diffstat (limited to '.venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py')
-rw-r--r-- | .venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py b/.venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py new file mode 100644 index 00000000..919a3818 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py @@ -0,0 +1,43 @@ +import base64 +from typing import Any, Dict, Optional, Union + +from huggingface_hub.inference._common import _as_dict +from huggingface_hub.inference._providers._common import BaseConversationalTask, TaskProviderHelper, filter_none + + +class HyperbolicTextToImageTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider="hyperbolic", base_url="https://api.hyperbolic.xyz", task="text-to-image") + + def _prepare_route(self, mapped_model: str) -> str: + return "/v1/images/generations" + + def _prepare_payload_as_dict(self, inputs: Any, parameters: Dict, mapped_model: str) -> Optional[Dict]: + parameters = filter_none(parameters) + if "num_inference_steps" in parameters: + parameters["steps"] = parameters.pop("num_inference_steps") + if "guidance_scale" in parameters: + parameters["cfg_scale"] = parameters.pop("guidance_scale") + # For Hyperbolic, the width and height are required parameters + if "width" not in parameters: + parameters["width"] = 512 + if "height" not in parameters: + parameters["height"] = 512 + return {"prompt": inputs, "model_name": mapped_model, **parameters} + + def get_response(self, response: Union[bytes, Dict]) -> Any: + response_dict = _as_dict(response) + return base64.b64decode(response_dict["images"][0]["image"]) + + +class HyperbolicTextGenerationTask(BaseConversationalTask): + """ + Special case for Hyperbolic, where text-generation task is handled as a conversational task. + """ + + def __init__(self, task: str): + super().__init__( + provider="hyperbolic", + base_url="https://api.hyperbolic.xyz", + ) + self.task = task |