Instructions to use internetoftim/upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/upload_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="internetoftim/upload_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("internetoftim/upload_test") model = AutoModelForQuestionAnswering.from_pretrained("internetoftim/upload_test") - Notebooks
- Google Colab
- Kaggle
File size: 700 Bytes
3bcfd94 684d36b 3bcfd94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"_name_or_path": "internetoftim/upload_test",
"architectures": [
"PoptorchPipelinedBertForQuestionAnswering"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.15,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-06,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float16",
"transformers_version": "4.10.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
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