diff --git a/_examples/text_classification/main.go b/_examples/text_classification/main.go
new file mode 100644
index 0000000..a91be43
--- /dev/null
+++ b/_examples/text_classification/main.go
@@ -0,0 +1,24 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"log"
+	"os"
+
+	huggingface "github.com/hupe1980/go-huggingface"
+)
+
+func main() {
+	ic := huggingface.NewInferenceClient(os.Getenv("HUGGINGFACEHUB_API_TOKEN"))
+
+	res, err := ic.TextClassification(context.Background(), &huggingface.TextClassificationRequest{
+		Inputs: "The answer to the universe is 42",
+		//Model:  "deepset/deberta-v3-base-injection", // overwrite recommended model
+	})
+	if err != nil {
+		log.Fatal(err)
+	}
+
+	fmt.Println(res[0])
+}
diff --git a/text_classification.go b/text_classification.go
new file mode 100644
index 0000000..5c3568e
--- /dev/null
+++ b/text_classification.go
@@ -0,0 +1,45 @@
+package gohuggingface
+
+import (
+	"context"
+	"encoding/json"
+	"errors"
+)
+
+// TextClassificationRequest represents a request for text classification.
+type TextClassificationRequest struct {
+	// Inputs is the string to be generated from.
+	Inputs string `json:"inputs"`
+	// Options represents optional settings for the classification.
+	Options Options `json:"options,omitempty"`
+	// Model is the name of the model to use for classification.
+	Model string `json:"-"`
+}
+
+// TextClassificationResponse represents a response for text classification.
+type TextClassificationResponse [][]struct {
+	// Label is the label for the class (model-specific).
+	Label string `json:"label,omitempty"`
+	// Score is a float that represents how likely it is that the text belongs to this class.
+	Score float32 `json:"score,omitempty"`
+}
+
+// TextClassification performs text classification using the provided request.
+func (ic *InferenceClient) TextClassification(ctx context.Context, req *TextClassificationRequest) (TextClassificationResponse, error) {
+	// Check if inputs are provided.
+	if len(req.Inputs) == 0 {
+		return nil, errors.New("inputs are required")
+	}
+
+	body, err := ic.post(ctx, req.Model, "text-classification", req)
+	if err != nil {
+		return nil, err
+	}
+
+	textClassificationResponse := TextClassificationResponse{}
+	if err := json.Unmarshal(body, &textClassificationResponse); err != nil {
+		return nil, err
+	}
+
+	return textClassificationResponse, nil
+}