Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use HAriGa/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HAriGa/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HAriGa/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HAriGa/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("HAriGa/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
499d41b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4808a7a23502dd5120f9370fb5823f3061c3e187826d1b703c50cf0396a96c20
size 3515
|