An example of how to do inference on this model, based on the
T5 documentation
:
from optimum.intel.openvino import OVModelForSeq2SeqLM
from transformers import AutoTokenizer, pipeline
model_id = "t5-small-ov"
model = OVModelForSeq2SeqLM.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)
input_ids = tokenizer("translate English to German: The house is wonderful.", return_tensors="pt").input_ids
outputs = model.generate(input_ids)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Runs of helenai t5-small-ov on huggingface.co
736
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3-day runs
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124
30-day runs
More Information About t5-small-ov huggingface.co Model
t5-small-ov huggingface.co
t5-small-ov huggingface.co is an AI model on huggingface.co that provides t5-small-ov's model effect (), which can be used instantly with this helenai t5-small-ov model. huggingface.co supports a free trial of the t5-small-ov model, and also provides paid use of the t5-small-ov. Support call t5-small-ov model through api, including Node.js, Python, http.
t5-small-ov huggingface.co is an online trial and call api platform, which integrates t5-small-ov's modeling effects, including api services, and provides a free online trial of t5-small-ov, you can try t5-small-ov online for free by clicking the link below.
helenai t5-small-ov online free url in huggingface.co:
t5-small-ov is an open source model from GitHub that offers a free installation service, and any user can find t5-small-ov on GitHub to install. At the same time, huggingface.co provides the effect of t5-small-ov install, users can directly use t5-small-ov installed effect in huggingface.co for debugging and trial. It also supports api for free installation.