abhishek HF staff commited on
Commit
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Commit From AutoNLP

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ tags: autonlp
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+ language: de
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+ widget:
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+ - text: "I love AutoNLP 🤗"
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+ datasets:
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+ - muhtasham/autonlp-data-Doctor_DE
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+ co2_eq_emissions: 203.30658367993382
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+ ---
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+
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+ # Model Trained Using AutoNLP
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+
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+ - Problem type: Single Column Regression
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+ - Model ID: 24595545
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+ - CO2 Emissions (in grams): 203.30658367993382
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.30214861035346985
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+ - MSE: 0.30214861035346985
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+ - MAE: 0.25911855697631836
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+ - R2: 0.8455587614373526
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+ - RMSE: 0.5496804714202881
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+ - Explained Variance: 0.8476610779762268
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+
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+ ## Usage
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+
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+ You can use cURL to access this model:
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+
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+ ```
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+ $ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/muhtasham/autonlp-Doctor_DE-24595545
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+ ```
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+
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+ Or Python API:
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+
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+ ```
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595545", use_auth_token=True)
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+
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+ tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595545", use_auth_token=True)
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+
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+ inputs = tokenizer("I love AutoNLP", return_tensors="pt")
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+
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+ outputs = model(**inputs)
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+ ```
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+ "BertForSequenceClassification"
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "padding": "max_length",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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+ "transformers_version": "4.8.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 31102
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+ }
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tokenizer.json ADDED
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