Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use roymgabriel/trial-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roymgabriel/trial-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roymgabriel/trial-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roymgabriel/trial-model") model = AutoModelForSequenceClassification.from_pretrained("roymgabriel/trial-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roymgabriel/trial-model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/roymgabriel/trial-model/resolve/main/training_args.bin
- Command line
-
hf download hf://roymgabriel/trial-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roymgabriel/trial-model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 717274f8e32af729545d3dc449ae8a10d762d25913e7a93e5b0340114758c99d
- Size of remote file:
- 4.6 kB
- SHA256:
- e2da984dd26faa0ad94219a254c408905af9d324b19569d72a2e0e634bfb3db6
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