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biomedbert-hash-nano
can be loaded using
Hugging Face Transformers
as follows. Note that given that this is a custom architecture,
trust_remote_code
needs to be set.
from transformers import AutoModel
model = AutoModel.from_pretrained("neuml/biomedbert-hash-nano", trust_remote_code=True)
The model is intended to be further fine-tuned for a specific task such as Text Classification, Entity Extraction, Sentence Embeddings and so on.
biomedbert-hash-nano huggingface.co is an AI model on huggingface.co that provides biomedbert-hash-nano's model effect (), which can be used instantly with this NeuML biomedbert-hash-nano model. huggingface.co supports a free trial of the biomedbert-hash-nano model, and also provides paid use of the biomedbert-hash-nano. Support call biomedbert-hash-nano model through api, including Node.js, Python, http.
biomedbert-hash-nano huggingface.co is an online trial and call api platform, which integrates biomedbert-hash-nano's modeling effects, including api services, and provides a free online trial of biomedbert-hash-nano, you can try biomedbert-hash-nano online for free by clicking the link below.
NeuML biomedbert-hash-nano online free url in huggingface.co:
biomedbert-hash-nano is an open source model from GitHub that offers a free installation service, and any user can find biomedbert-hash-nano on GitHub to install. At the same time, huggingface.co provides the effect of biomedbert-hash-nano install, users can directly use biomedbert-hash-nano installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
biomedbert-hash-nano install url in huggingface.co: