Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use noahgift/hf_fine_tune_hello_world with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noahgift/hf_fine_tune_hello_world with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="noahgift/hf_fine_tune_hello_world")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("noahgift/hf_fine_tune_hello_world") model = AutoModelForSequenceClassification.from_pretrained("noahgift/hf_fine_tune_hello_world", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b65b6b0478aaa058a5be3f62066456728bfc3b90a9a1c08392ce14a224316449
- Size of remote file:
- 433 MB
- SHA256:
- c36f6f0755b14cafef8098995a65e2ac259af50b08f2c9fd53c25b5649065da2
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