Instructions to use hf-tiny-model-private/tiny-random-TapasForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-TapasForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-TapasForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-TapasForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-TapasForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "agg_temperature": 1.0, | |
| "aggregation_labels": null, | |
| "aggregation_loss_importance": 0.8, | |
| "aggregation_loss_weight": 1.0, | |
| "aggregation_temperature": 1.0, | |
| "allow_empty_column_selection": false, | |
| "answer_loss_cutoff": 100, | |
| "answer_loss_importance": 0.001, | |
| "architectures": [ | |
| "TapasForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "average_approximation_function": "ratio", | |
| "average_logits_per_cell": true, | |
| "cell_selection_preference": 0.5, | |
| "disable_per_token_loss": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 32, | |
| "huber_loss_delta": 25.0, | |
| "init_cell_selection_weights_to_zero": true, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "layer_norm_eps": 1e-12, | |
| "max_num_columns": 32, | |
| "max_num_rows": 64, | |
| "max_position_embeddings": 512, | |
| "model_type": "tapas", | |
| "no_aggregation_label_index": null, | |
| "num_aggregation_labels": 4, | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 5, | |
| "pad_token_id": 0, | |
| "positive_label_weight": 10.0, | |
| "positive_weight": 10.0, | |
| "reset_position_index_per_cell": true, | |
| "select_one_column": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.28.0.dev0", | |
| "type_vocab_sizes": [ | |
| 3, | |
| 256, | |
| 256, | |
| 2, | |
| 256, | |
| 256, | |
| 10 | |
| ], | |
| "use_answer_as_supervision": true, | |
| "use_gumbel_for_agg": false, | |
| "use_gumbel_for_aggregation": false, | |
| "use_gumbel_for_cells": false, | |
| "use_normalized_answer_loss": false, | |
| "vocab_size": 30522 | |
| } | |