# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("asmaab/DistilbertFintuned")
model = AutoModelForSequenceClassification.from_pretrained("asmaab/DistilbertFintuned")Quick Links
DistilbertFintuned
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Tokenizers 0.15.2
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Model tree for asmaab/DistilbertFintuned
Base model
distilbert/distilbert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asmaab/DistilbertFintuned")