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bert-uncased-pubmed-200k
Vedant101/bert-uncased-pubmed-200k
bert-uncased-pubmed-200k is a machine learning model from Vedant101. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is fine-tuned on the PubMed 200k RCT dataset using the DeBERTa v3 base model.
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At a glance
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 10, 2024
- SHA
- 295f6056
Model card
From the Hugging Face model README
PubMed 200k RCT DeBERTa v3 Model
This model is fine-tuned on the PubMed 200k RCT dataset using the DeBERTa v3 base model.
Model Details
- Base model: microsoft/deberta-v3-base
- Fine-tuned on: PubMed 200k RCT dataset
- Task: Sequence Classification
- Number of classes: 5
- Max sequence length: 68
Usage
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained('Vedant101/bert-uncased-pubmed-200k')
tokenizer = AutoTokenizer.from_pretrained('Vedant101/bert-uncased-pubmed-200k')
- Type
- deberta-v2
- Created
- Sep 3, 2024
- Updated
- Sep 10, 2024