forked from tmc/langchaingo
-
Notifications
You must be signed in to change notification settings - Fork 0
/
options.go
73 lines (61 loc) · 1.58 KB
/
options.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
package huggingface
import (
"github.com/aresa7796/langchaingo/llms/huggingface"
)
const (
_defaultBatchSize = 512
_defaultStripNewLines = true
_defaultModel = "sentence-transformers/all-mpnet-base-v2"
_defaultTask = "feature-extraction"
)
// Option is a function type that can be used to modify the client.
type Option func(p *Huggingface)
// WithModel is an option for providing the model name to use.
func WithModel(model string) Option {
return func(p *Huggingface) {
p.Model = model
}
}
// WithTask is an option for providing the task to call the model with.
func WithTask(task string) Option {
return func(p *Huggingface) {
p.Task = task
}
}
// WithClient is an option for providing the LLM client.
func WithClient(client huggingface.LLM) Option {
return func(p *Huggingface) {
p.client = &client
}
}
// WithStripNewLines is an option for specifying the should it strip new lines.
func WithStripNewLines(stripNewLines bool) Option {
return func(p *Huggingface) {
p.StripNewLines = stripNewLines
}
}
// WithBatchSize is an option for specifying the batch size.
func WithBatchSize(batchSize int) Option {
return func(p *Huggingface) {
p.BatchSize = batchSize
}
}
func applyOptions(opts ...Option) (*Huggingface, error) {
o := &Huggingface{
StripNewLines: _defaultStripNewLines,
BatchSize: _defaultBatchSize,
Model: _defaultModel,
Task: _defaultTask,
}
for _, opt := range opts {
opt(o)
}
if o.client == nil {
client, err := huggingface.New()
if err != nil {
return nil, err
}
o.client = client
}
return o, nil
}