Text Classification
Transformers
TensorBoard
Safetensors
Habana
bert
Generated from Trainer
text-embeddings-inference
Instructions to use gosshh/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gosshh/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gosshh/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gosshh/output") model = AutoModelForSequenceClassification.from_pretrained("gosshh/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "autocast_bf16_ops": null, | |
| "autocast_fp32_ops": null, | |
| "optimum_version": "1.21.2", | |
| "transformers_version": "4.40.2", | |
| "use_dynamic_shapes": false, | |
| "use_fused_adam": true, | |
| "use_fused_clip_norm": true, | |
| "use_torch_autocast": true | |
| } | |