Instructions to use dusersad12/SweepBestModel-Repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/SweepBestModel-Repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/SweepBestModel-Repo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dusersad12/SweepBestModel-Repo") model = AutoModelForSequenceClassification.from_pretrained("dusersad12/SweepBestModel-Repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 174 Bytes
cda46d0 | 1 2 3 4 5 6 7 | {
"model_type": "roberta",
"architectures": ["RobertaForSequenceClassification"],
"hidden_size": 768,
"num_attention_heads": 12,
"num_hidden_layers": 12
} |