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") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Aug23_07-26-52_gaurav-gaudi-pod
- Aug23_07-38-06_gaurav-gaudi-pod
- Aug23_07-47-26_gaurav-gaudi-pod
- Jul18_12-18-23_7cbd3327a802
- Jul18_12-27-35_7cbd3327a802
- Jul18_12-49-02_7cbd3327a802
- Jul18_12-58-31_7cbd3327a802
- Jul18_13-02-25_7cbd3327a802
- Jul18_13-06-20_7cbd3327a802
- Jul18_13-19-25_7cbd3327a802
- Jul18_13-46-22_7cbd3327a802
- Jul18_14-15-03_7cbd3327a802
- Jul18_16-44-39_7cbd3327a802
- Jul19_14-58-16_7cbd3327a802
- Jul19_15-20-36_7cbd3327a802
- Jul19_15-35-23_7cbd3327a802
- Jul19_15-47-48_7cbd3327a802
- Jul29_08-35-52_527e583798d6