from transformers import AutoTokenizer, AutoModelForMaskedLM, AutoModel, AutoModelForMLM
model = AutoModelForMaskedLM.from_pretrained("manu/optimus_v2", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("manu/optimus_v2", trust_remote_code=True)
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='pt')
output = model(**encoded_input)
Runs of manu optimus_v2 on huggingface.co
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More Information About optimus_v2 huggingface.co Model
optimus_v2 huggingface.co
optimus_v2 huggingface.co is an AI model on huggingface.co that provides optimus_v2's model effect (), which can be used instantly with this manu optimus_v2 model. huggingface.co supports a free trial of the optimus_v2 model, and also provides paid use of the optimus_v2. Support call optimus_v2 model through api, including Node.js, Python, http.
optimus_v2 huggingface.co is an online trial and call api platform, which integrates optimus_v2's modeling effects, including api services, and provides a free online trial of optimus_v2, you can try optimus_v2 online for free by clicking the link below.
manu optimus_v2 online free url in huggingface.co:
optimus_v2 is an open source model from GitHub that offers a free installation service, and any user can find optimus_v2 on GitHub to install. At the same time, huggingface.co provides the effect of optimus_v2 install, users can directly use optimus_v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.