superduper_transformers
Transformers is a popular AI framework, and we have incorporated native support for Transformers to provide essential Large Language Model (LLM) capabilities.
Superduper allows users to work with arbitrary transformers pipelines, with custom input/ output data-types.
Installation
pip install superduper_transformers
API
| Class | Description |
|---|---|
superduper_transformers.model.TextClassificationPipeline |
A wrapper for transformers.Pipeline. |
superduper_transformers.model.LLM |
LLM model based on transformers library. |
Examples
TextClassificationPipeline
from superduper_transformers.model import TextClassificationPipeline
model = TextClassificationPipeline(
identifier="my-sentiment-analysis",
model_name="distilbert-base-uncased",
model_kwargs={"num_labels": 2},
device="cpu",
)
model.predict("Hello, world!")
LLM
from superduper_transformers import LLM
model = LLM(identifier="llm", model_name_or_path="facebook/opt-125m")
model.predict("Hello, world!")
Training Example
Read more about this here
1 maintainer
Metadata
1 maintainer
Release files for superduper-transformers 0.10.0
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| File | Size | Uploaded | |
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| superduper_transformers-0.10.0.tar.gz | 22.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superduper_transformers-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.9 kB
Release files / superduper_transformers-0.10.0.tar.gz
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| Tags | Python 3 |
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