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complete_9062874564
florianhoenicke/complete_9062874564
complete_9062874564 is a feature extraction model from florianhoenicke. Use it when you need embeddings to search or compare text. It is set up for transformers.
complete9062874564 is a state-of-the-art embedding model designed to support various applications in natural language processing and understanding. It's built using the latest advancements in deep learning and natural…
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 5, 2024
- Updated
- Apr 5, 2024
- SHA
- 04a2abec
Model card
From the Hugging Face model README
complete_9062874564
Model Description
complete_9062874564 is a state-of-the-art embedding model designed to support various applications in natural language processing and understanding. It's built using the latest advancements in deep learning and natural language processing technologies to provide high-quality embeddings that capture contextual nuances and semantic meanings.
Use Cases
This model is designed to support various applications in natural language processing and understanding.
How to Use
This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
from transformers import AutoModel, AutoTokenizer
model_name = "complete_9062874564"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)
tokens = tokenizer("Your text here", return_tensors="pt")
embedding = model(**tokens)
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- Created
- Apr 5, 2024
- Updated
- Apr 5, 2024