Update README.md

README.md

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----
-license: apache-2.0
----
+---
+language: bm
+tags:
+- bambara
+- fasttext
+- embeddings
+- word-vectors
+- african-nlp
+- low-resource
+license: apache-2.0
+datasets:
+- bambara-corpus
+metrics:
+- cosine_similarity
+pipeline_tag: feature-extraction
+---
+
+# Bambara FastText Embeddings
+
+## Model Description
+
+This model provides FastText word embeddings for the Bambara language (Bamanankan), a Mande language spoken primarily in Mali. The embeddings capture semantic relationships between Bambara words and enable various NLP tasks for this low-resource African language.
+
+**Model Type:** FastText Word Embeddings  
+**Language:** Bambara (bm)  
+**License:** Apache 2.0  
+
+
+## Model Details
+
+### Model Architecture
+- **Algorithm:** FastText with subword information
+- **Vector Dimension:** 300
+- **Vocabulary Size:** 9,973 unique Bambara words
+- **Training Method:** Skip-gram with negative sampling
+- **Subword Information:** Character n-grams (enables handling of out-of-vocabulary words)
+
+### Training Data
+The model was trained on Bambara text corpora, building upon the work of David Ifeoluwa Adelani's research on African language embeddings.
+
+### Intended Use
+This model is designed for:
+- **Semantic similarity tasks** in Bambara
+- **Information retrieval** for Bambara documents
+- **Cross-lingual research** involving Bambara
+- **Cultural preservation** and digital humanities projects
+- **Educational applications** for Bambara language learning
+- **Foundation for downstream NLP tasks** in Bambara
+
+
+## Usage
+```
+  Coming soon
+```
+