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README.md

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+---
+license: mit
+inference: False
+---
+
+The TopicGPT model has been developed with the aim of detecting and extracting the primary subject matter of conversations. This capability can prove to be exceedingly useful in a wide range of natural language processing applications. To use the TopicGPT model, enter an input conversational text or data for analysis. Subsequently, the model processes the input and returns a reasonably accurate estimate of the topics of the conversation.
+
+**Additional Details**
+
+It is essential to note that the input provided to this model must commence with #CONTEXT# (BOS) and terminate with #TOPIC# (EOS). Here is an example:
+
+#CONTEXT# The quick brown fox jumps over the lazy dog! #TOPIC#

config.json

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+{
+  "_name_or_path": "gpt2-large",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 1280,
+  "n_head": 20,
+  "n_inner": null,
+  "n_layer": 36,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.28.1"
+}

pytorch_model.bin

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+size 1585974845