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cvMentorMatch
hmyrcmn/cvMentorMatch
cvMentorMatch is a feature extraction model from hmyrcmn. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
--- language: en license: apache-2.0 ---
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 81b9eb23
Model card
From the Hugging Face model README
language: en license: apache-2.0
My BERT Model
This is a BERT model fine-tuned for extracting embeddings from CVs and startup descriptions for matching purposes.
Model Details
- Architecture: BERT-base-uncased
- Use case: CV and Startup matching
- Training data: Not applicable (pre-trained model used)
How to use
from transformers import BertTokenizer, BertModel
tokenizer = BertTokenizer.from_pretrained("your_username/your_model_name")
model = BertModel.from_pretrained("your_username/your_model_name")
text = "Sample text"
inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
outputs = model(**inputs)
embedding = outputs.last_hidden_state.mean(dim=1).detach().numpy()
- Task
- Feature Extraction
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024