initial commit

.gitignore

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+venv
+.DS_Store
+.idea/

app.py

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+from transformers import pipeline, LongformerForSequenceClassification, LongformerTokenizer, Trainer
+import gradio as gr
+
+
+def predict_fn(text: str) -> str:
+    model = LongformerForSequenceClassification.from_pretrained("model")
+    tokenizer = LongformerTokenizer.from_pretrained("allenai/longformer-base-4096")
+
+    p = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+    return p(text)["label"]
+
+
+gr.Interface(predict_fn, "textbox", "label").launch()

model/config.json

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+{
+  "_name_or_path": "allenai/longformer-base-4096",
+  "architectures": [
+    "LongformerForSequenceClassification"
+  ],
+  "attention_mode": "longformer",
+  "attention_probs_dropout_prob": 0.1,
+  "attention_window": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "dovish",
+    "1": "neutral",
+    "2": "hawkish"
+  },
+  "ignore_attention_mask": false,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 4098,
+  "model_type": "longformer",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "onnx_export": false,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "sep_token_id": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model/pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:963dc4d435b943d3f2a60faece01bd04798f5b6d30e12aa55a5ce9d92f3c4447
+size 594740127

requirements.txt

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+transformers
+torch
+torchvision
+gradio