Upload README.md

README.md

@@ -1,12 +1,76 @@
----
-license: apache-2.0
-datasets:
-- jaksani1/TeluguDataset
-language:
-- te
-- en
-base_model:
-- google-bert/bert-base-multilingual-cased
-tags:
-- text
----
+My Colloquial Telugu Model
+
+Overview
+
+This model is fine-tuned on colloquial Telugu text to enhance natural language understanding and generation in informal Telugu conversations. It can be used for chatbots, sentiment analysis, text classification, and other NLP tasks.
+
+
+---
+
+Model Details
+
+Model Name: My Colloquial Telugu Model
+
+Base Model: bert-base-multilingual-cased
+
+Training Data: Telugu colloquial dataset containing informal conversations
+
+Fine-tuning Details:
+
+Epochs: 3
+
+Batch Size: 16
+
+Optimizer: AdamW
+
+
+Language: Telugu
+
+
+
+---
+
+Usage
+
+This model can be used for text generation, classification, and translation.
+
+Using the Model in Python
+
+To use this model in Python, install the required libraries:
+
+pip install transformers torch
+
+Then, load the model:
+
+from transformers import AutoModel, AutoTokenizer
+
+model_name = "your-hf-username/my_colloquial_telugu_model"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModel.from_pretrained(model_name)
+
+text = "ఇవాళ వాతావరణం ఎలా ఉంది?"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs)
+print(outputs)
+
+
+---
+
+Performance
+
+Accuracy/F1 Score: TBD (To Be Determined)
+
+Limitations:
+
+May struggle with highly formal or technical Telugu text.
+
+Performance depends on dataset quality and coverage.
+
+
+
+
+---
+
+License
+
+This model is released under the Apache 2.0 license.