Instructions to use Souvikcmsa/Roberta_Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Souvikcmsa/Roberta_Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Souvikcmsa/Roberta_Sentiment_Analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Souvikcmsa/Roberta_Sentiment_Analysis") model = AutoModelForSequenceClassification.from_pretrained("Souvikcmsa/Roberta_Sentiment_Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Souvikcmsa/Roberta_Sentiment_Analysis: direct link, hf CLI and curl.
- Browser
- Download file 892 Bytes
-
https://huggingface.co/Souvikcmsa/Roberta_Sentiment_Analysis/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://Souvikcmsa/Roberta_Sentiment_Analysis@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/Souvikcmsa/Roberta_Sentiment_Analysis/resolve/refs%2Fpr%2F1/config.json
892 Bytes
| { | |
| "_name_or_path": "AutoTrain", | |
| "_num_labels": 2, | |
| "architectures": [ | |
| "RobertaForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "0", | |
| "1": "4" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": { | |
| "0": 0, | |
| "4": 1 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_length": 64, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 1, | |
| "padding": "max_length", | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.15.0", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 50265 | |
| } | |