Check out this Go function that uses the OpenAI API for text generation:
import (
"context"
"fmt"
"github.com/sashabaranov/go-openai"
)
func generateText(prompt string) (string, error) {
client := openai.NewClient("your-api-key")
resp, err := client.CreateCompletion(
context.Background(),
openai.CompletionRequest{
Model: openai.GPT3Ada,
Prompt: prompt,
MaxTokens: 150,
},
)
if err != nil {
return "", err
}
return resp.Choices[0].Text, nil
}
#golang
#openai
Just implemented BERT embeddings in Go using the Transformers library. Here's a snippet:
import (
"fmt"
"log"
"github.com/sugarme/tokenizer"
"github.com/sugarme/transformer"
)
func main() {
model, err := transformer.NewBertModel("bert-base-uncased")
if err != nil {
log.Fatal(err)
}
tokenizer, err := tokenizer.NewBertTokenizer("bert-base-uncased")
if err != nil {
log.Fatal(err)
}
input := "Hello, world!"
encoded, err := tokenizer.Encode(input, true)
if err != nil {
log.Fatal(err)
}
output, err := model.GetEmbeddings(encoded.Ids)
if err != nil {
log.Fatal(err)
}
fmt.Println(output)
}
#golang
#bert
#nlp