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:
- 0b1b113080a6fa99c5a30698d45bbd78dd9559317f93fae9af211d6334ca8deb
- Size of remote file:
- 433 MB
- SHA256:
- 57a74542f96694fd5a9931d07413245fc7d2fe20d06dba4e99f03fca1ceb79c5
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